\nGauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.\n\n\nGauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.\n\n\nGauntlet’s mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry’s understanding of this new domain and revealing how to safely navigate the true bleeding edge of 21st-century financial innovation.\n\n\nTeam Overview\n\n\nThe Data Team is responsible for developing and maintaining robust data pipelines that ensure the accuracy and availability of data across the organization. They work closely with other teams to provide insights and analytics that drive business strategies and optimize performance. The Data Team enhances the company's data-driven decision-making capabilities by leveraging advanced data processing frameworks and tools.\n\n\n\nResponsibilities\n* Design, implement, and maintain scalable data processing solutions for Gauntlet’s data platforms, focusing on high availability and performance.\n* Collaborate with data scientists and product managers to develop and enhance data ingestion and processing systems tailored to the needs of the data team.\n* Participate in code and design reviews specific to data projects, offering constructive feedback and ensuring adherence to best practices in data software development.\n* Stay informed about emerging data technologies and industry trends to drive innovation and improve data system architecture.\n* Develop and maintain technical documentation to support data system operations and facilitate knowledge sharing within the data team.\n* Identify, troubleshoot, and resolve data-related software issues, ensuring the reliability and efficiency of the data platform's services.\n\n\n\nQualifications\n* 3+ years of professional experience in software development, with a focus on backend data systems.\n* Proficient in at least one programming language commonly used for data processing and streaming applications, such as Python or Rust, within a data team context\n* Experience with data ingestion and processing frameworks, such as Kafka, tailored to the needs of a data team\n* Excellent problem-solving and analytical skills, with a focus on building scalable and efficient data systems\n\n\n\nBonus Points\n* Strong understanding of blockchain technology and DeFi protocols, with a keen interest in expanding knowledge in these areas, especially regarding data systems.\n* Experience in building real-time applications or systems.\n* Knowledge of Rust \n\n\n\nBenefits and Perks\n* Remote first - work from anywhere in the US & CAN!\n* Competitive packages with the added opportunity for incentive-based compensation\n* Regular in-person company retreats and cross-country "office visit" perk\n* 100% paid medical, dental and vision premiums for employees\n* Laptop provided\n* $1,500 WFH stipend upon joining\n* $100 per month reimbursement for fitness-related expenses\n* Monthly reimbursement for home internet, phone, and cellular data\n* Unlimited vacation policy\n* 100% paid parental leave of 12 weeks\n* Fertility benefits\n\n\n\n\n\n\nPlease note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.\n\n\nThe national pay range for this role is $165,000 - $205,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company. \n\n\n#LI-Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Crypto, Python, Engineer and Backend jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City / San Francisco / Los Angeles / Remote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nKensho is an AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, real world applications of large language models (LLMs) and more. We are continuously expanding our portfolio and are looking for passionate engineers to help us build and deploy state-of-the-art models across a variety of domains!\n\n\nKensho is looking for graduating ML Engineers to join the group of Machine Learning Engineers working on one of the following products: Scribe, Link, Extract, NERD, or Classify. We are looking for talented people who share our passion for bringing to production robust, scalable, and highly accurate models.\n\n\nKensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on one of the following products: Scribe, Link, Extract, NERD, or Classify. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate models to production.\n\n\nAt Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.\n\n\nKensho states that the anticipated base salary range for the position is 120k - 130k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.\n\n\n\nTechnologies & Tools We Use:\n* Traditional ML: SKLearn, XGBoost, LightGBM\n* Deep Learning: HuggingFace, PyTorch, Transformers, GNNs, DGL, LangChain \n* Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS\n* EDA/Visualization: Pandas, Matplotlib, Jupyter, Weights & Biases\n* Tools/Toolkits: DVC, NVIDIA NeMo, MosaicML, LabelBox\n* Datastores: Postgres, OpenSearch, SQLite, S3, VectorDB\n\n\n\nWhat You’ll Do:\n* Conduct original research on large proprietary and open source data sets\n* Design, build and maintain scalable production-ready ML systems\n* Actively participate in the ML model lifecycle, from problem framing to training, deployment and monitoring in production\n* Partner with ML Operations team to deliver solutions for automating ML model lifecycle, from technical design to implementation\n* Work in a cross-functional team of ML engineers, Product Managers, Designers, Backend & Frontend engineers who are passionate about their product\n\n\n\nWhat We Look For:\n* Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:\n\n\n\n* Bachelor's degree or higher with relevant classwork or internships in Machine Learning\n* Experience with advanced machine learning methods\n* Have strong statistical knowledge, intuition, and experience modeling real data\n* Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)\n* Demonstrated effective coding, documentation, and communication habits\n* Exercise strong communication skills and can effectively express even complicated methods and results to a broad, often non-technical audience\n* [optionally] Have published in top-tier journals and conferences in ML domain\n\n\n\n\n\nAt Kensho, we pride ourselves on providing top-of-market benefits, including:\n \n- Medical, Dental, and Vision insurance \n- 100% company paid premiums\n- Unlimited Paid Time Off\n- 26 weeks of 100% paid Parental Leave (paternity and maternity)\n- 401(k) plan with 6% employer matching\n- Generous company matching on donations to non-profit charities\n- Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences\n- Plentiful snacks, drinks, and regularly catered lunches\n- Dog-friendly office (CAM office)\n- In-office gyms and showers (CAM, DC)\n- Bike sharing program memberships\n- Compassion leave and elder care leave\n- Mentoring and additional learning opportunities\n- Opportunity to expand professional network and participate in conferences and events\n\n\nAbout Kensho\n\n\nKensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. We were founded in 2013 and now serve as S&P Global's innovation hub. We continue to maintain our distinct, independent brand in order to best promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global. As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.\n\n\nWe are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.\n\n\nAt Kensho, we pride ourselves on providing top-of-market benefits, including:\n \n- Medical, Dental, and Vision insurance \n- 100% company paid premiums\n- Unlimited Paid Time Off\n- 26 weeks of 100% paid Parental Leave (paternity and maternity)\n- 401(k) plan with 6% employer matching\n- Generous company matching on donations to non-profit charities\n- Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences\n- Plentiful snacks, drinks, and regularly catered lunches\n- Dog-friendly office (CAM office)\n- Bike sharing program memberships\n- Compassion leave and elder care leave\n- Mentoring and additional learning opportunities\n- Opportunity to expand professional network and participate in conferences and events\n\n\nAbout Kensho\n\n\nKensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. We were founded in 2013 and now serve as S&P Global's innovation hub. We continue to maintain our distinct, independent brand in order to best promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global. As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.\n\n\nWe are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an office in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Travel, Engineer and Backend jobs that are similar:\n\n
$80,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCambridge/NY/DC/Remote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout Baubap\nWe are a fast-growing, Mexican fintech startup with the mission to become the bridge to people’s financial freedom through technology.\nWe are providing microloans to people in financial need through a fast and efficient process, always treating them with the respect and dignity they deserve.\nOur long-term vision is be the most inclusive digital bank in LATAM with more than 2.5 million clients.\n\n\n*We require that the candidate is fluent in Spanish and currently resides in the LATAM region, as it's important be willing to work under the Mexican Central Time Zone.\n\n About you\n\n🚀 \n\nAre you ready to shape the future of personal micro loans? As a Backend Engineer focused on Financial Core Systems, you'll be at the heart of ensuring our backend's performance, stability, and reliability. Your work will directly streamline our operations and accelerate product development.\n\nYou’ll collaborate with a dynamic and passionate team dedicated to problem-solving and continuous improvement. Your contributions will be instrumental in achieving our product goals, to ensure our customers experience the best feeling by using our products.\n\nYou’ll take charge of important projects focused on improving functionality, helping us achieve our key objectives and results (OKRs). Your work will enhance user experiences and streamline processes through clear communication and quick updates. Join us and make a real impact in the micro-loan industry!\n\n\nAs Backend Engineer, these are the challenges that you will help us for solving\n\n\n* Work with the team to design and implement backend system architecture, focusing on scalability, maintainability, and efficiency.\n\n* Improve backend performance through code optimization and architectural enhancements.\n\n* Integrate external Financial and Compliance systems and services, including third-party products in a variety of APIs implementations.\n\n* Develop and maintain reliable and efficient APIs for server-to-client, server-to-server and event-driven communication.\n\n* Implement security best practices to protect against vulnerabilities and cyber threats.\n\n* Diagnose and resolve complex issues related to high-volume transactions in the product's backend.\n\n\n\n\n Day to day\n\n\n* Collaborate to design and implement scalable, maintainable, and efficient backend system architectures using micro-services.\n\n* Develop and maintain robust and efficient APIs for server-to-client, server-to-server and event-driven communication, ensuring performance under high traffic.\n\n* Optimize backend components to ensure optimal performance, scalability, and reliability. Conduct regular performance tuning and bug fixing.\n\n* Implement security best practices to protect against vulnerabilities and cyber threats.\n\n* Conduct code reviews and provide constructive feedback to maintain high code quality.\n\n* Ensure seamless communication and data exchange between different components.\n\n* Participate in regular team meetings, brainstorming sessions, and collaborative planning.\n\n* Stay updated with industry trends, emerging technologies, and best practices, to continuously improve development processes, tools, and methodologies to enhance productivity and product quality.\n\n\n\n\nRequirements \n\n\n* 5+ years of experience in backend development in a fast growing product.\n\n* Hands-on experience designing and building micro services architectures.\n\n* Proven ability to develop and maintain RESTful and/or GraphQL APIs.\n\n* Demonstrated skills in optimizing system performance, scalability, and reliability.\n\n* Excellent teamwork and communication skills, with the ability to work effectively with cross-functional teams.\n\n* Commitment to writing clean, maintainable, and efficient code, following industry standards and best practices.\n\n* Experience with monitoring, maintaining, and supporting backend systems in a production environment.\n\n* Ability to create and maintain detailed technical documentation for system architecture, design, and processes.\n\n* Experience with writing and maintaining unit, integration, and end-to-end tests to ensure system reliability.\n\n* Experience with designing and maintaining scalable data models in relational databases such as PostgreSQL and MySQL which the capability to ensure data integrity and precision.\n\n* \n\n\n\n\n🚀 Nice to have\n\n\n* Experience with tech leading small groups of at most 6 people, giving them technical direction and support.\n\n* Expertise in putting together well designed solutions to support constant-growing financial platforms by implementing cutting-edge technology and patterns.\n\n* In-depth knowledge and experience working in the fintech industry.\n\n* Familiarity with STP (Sistema de Transferencias y Pagos) and its operations.\n\n* Understanding and experience with SPEI (Sistema de Pagos Electrónicos Interbancarios) and its implementation.\n\n* Expertise in disbursement processes, payment gateways, and financial transaction handling.\n\n* Knowledge of various financial products, particularly personal micro loans and their lifecycle.\n\n* Understanding of regulatory compliance requirements in the Mexican fintech sector.\n\n* Knowledge of risk assessment and management in financial services.\n\n* Experience applying machine learning techniques to financial data for fraud detection, credit scoring, etc.\n\n* Proficiency with Docker and Kubernetes for managing containerized applications.\n\n* Skills in data analysis and using tools like SQL, Python (Pandas), or R to extract insights from financial data.\n\n* \n\n\n\n\nWhat is our way of working?\n\n\n* We aim to be as product centric as possible, which means we always prioritise:\n\n* Listening to our customers (whether internal or external), mainly qualitatively and secondary quantitatively\n\n* Focusing on real problems our clients face\n\n* Strong focus on customer experience\n\n* Assuring that every product adds value to both, our business and our customers\n\n* Falling in love with the problem instead of the solution\n\n* Quick validation and learning\n\n* Strong collaboration within your team and other teams\n\n* Small, progressive, incremental delivery, innovation comes from iterations not from scratch.\n\n\n\n\n\n What we offer\n\n\n\n* Being part of a multinational, highly driven team of professionals\n\n* Flexible and remote working environment\n\n* High level of ownership and independence\n\n* 20 vacation days / year + 75% holiday bonus\n\n* 1 month (proportional) of Christmas bonus\n\n* Vales de despensa of 3,257 MXN / month\n\n* Health & Life insurance\n\n* Home office set-up budget\n\n* Unlimited budget for Kindle books\n\n* 2 psychological sessions/month with Terapify\n\n* Baubap Free Loan\n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, GraphQL, Python, Docker, Senior, Engineer and Backend jobs that are similar:\n\n
$80,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMexico City, Mexico City, Mexico
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nPython Software Engineer, Boulder, Colorado, United States OR Remote within U.S. for well qualified candidates \n\n \n\nAbout Ascend \n\nAscend Analytics is an innovative climate technology software and consulting company focused on energy analytics to support an increasingly complex power grid. The company’s products enhance critical power supply decisions for an array of key energy market stakeholders, from short-term operating strategies to long-term investment and resource planning. Ascend recently announced a strategic growth investment from prominent software and climate technology investors Rubicon Technology Partners, a private equity firm which is focused on investing in and growing software companies, Galvanize Climate Solutions, which invests in companies and solutions advancing the energy transition, and Silversmith Capital Partners, a technology-focused growth equity firm. Read more about how the investment will accelerate Ascend’s product innovation here. To learn more about Ascend, please visit us at www.ascendanalytics.com. \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\nJob Responsibilities \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\nRequired Qualifications\n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n5+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications\n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000 \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan. \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics. \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Cloud, Junior, Sales, Engineer and Backend jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBoulder, Colorado, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n
$70,000 — $105,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Summary\n\nThis is an exciting opportunity for an experienced software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.\n\nCanonical's Store team develops and operates the backend services that power the Snap Store and Charmhub.io marketplaces. Our services are built primarily in Python, within a bit of Golang. If you have a passion for clean APIs, have a bias towards shipping and believe that tests are the key to higher velocity and reliability, you'll fit right in.\n\nWe have some exciting challenges ahead including continuing to scale our production architecture, expand the store backend to handle additional package types, and enhance our on-prem offering for IoT and Enterprise solutions.\nWhat you’ll do\n\n\nCollaborate remotely with a globally distributed team.\n\nWrite clean web service APIs to support both CLI and web frontend clients, using Python (and optionally Golang).\n\nDesign and implement new features and enhancements from spec to production and ongoing operations at scale.\n\nReview code and technical designs produced by other engineers.\n\nDiscuss ideas and collaborate on finding good solutions.\n\nWork remotely with global travel 2 to 4 weeks for internal and external events.\n\n\n\nWho you are\n\n\nYou have demonstrated professional proficiency developing public-facing APIs and web applications using Python.\n\nYou have a broad technology base but favor backend code and infrastructure.\n\nYou know your way around relational and non-relational databases and can effectively design data models that perform well, and tune queries to access them.\n\nYou are comfortable with Ubuntu as a development and deployment platform.\n\nYou have demonstrated strong academic performance in Computer Science, STEM or similar degree.\n\nYou love technology and working with a diverse set of talented people.\n\nYou are curious, flexible, articulate, and accountable.\n\nYou value soft skills and are passionate, enterprising, thoughtful, and self-motivated.\n\n\n\nAbout Canonical\n\nCanonical is a growing, international software company that works with the open-source community to deliver Ubuntu -- the world’s #1 cloud operating system. Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. Canonical is a unique tech company - global, remote-first, open source, with 700 professionals across 50 countries - we want to be the world’s best, not biggest, global software company. With almost every team remote by default, Canonical sets the pace on the 21st-century digital workplace.\nWhat Canonical offers:\n\n\nWork from home\n\nLearning and development allowances\n\nCompetitive Salary\n\nAnnual compensation review\n\nRecognition rewards\n\nGenerous annual leave\n\nPaid maternity, paternity and sick leave\n\nPriority Pass for travel\n\nExposure to international business and technology\n\n\n\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.\n\n#LI-remote\n\n#stack \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Travel, Cloud, Engineer and Backend jobs that are similar:\n\n
$70,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSevilla la Nueva, Madrid, Spain
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Summary\n\nThis is an exciting opportunity for an experienced software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.\n\nCanonical's Store team develops and operates the backend services that power the Snap Store and Charmhub.io marketplaces. Our services are built primarily in Python, within a bit of Golang. If you have a passion for clean APIs, have a bias towards shipping and believe that tests are the key to higher velocity and reliability, you'll fit right in.\n\nWe have some exciting challenges ahead including continuing to scale our production architecture, expand the store backend to handle additional package types, and enhance our on-prem offering for IoT and Enterprise solutions.\nWhat you’ll do\n\n\nCollaborate remotely with a globally distributed team.\n\nWrite clean web service APIs to support both CLI and web frontend clients, using Python (and optionally Golang).\n\nDesign and implement new features and enhancements from spec to production and ongoing operations at scale.\n\nReview code and technical designs produced by other engineers.\n\nDiscuss ideas and collaborate on finding good solutions.\n\nWork remotely with global travel 2 to 4 weeks for internal and external events.\n\n\n\nWho you are\n\n\nYou have demonstrated professional proficiency developing public-facing APIs and web applications using Python.\n\nYou have a broad technology base but favor backend code and infrastructure.\n\nYou know your way around relational and non-relational databases and can effectively design data models that perform well, and tune queries to access them.\n\nYou are comfortable with Ubuntu as a development and deployment platform.\n\nYou have demonstrated strong academic performance in Computer Science, STEM or similar degree.\n\nYou love technology and working with a diverse set of talented people.\n\nYou are curious, flexible, articulate, and accountable.\n\nYou value soft skills and are passionate, enterprising, thoughtful, and self-motivated.\n\n\n\nAbout Canonical\n\nCanonical is a growing, international software company that works with the open-source community to deliver Ubuntu -- the world’s #1 cloud operating system. Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. Canonical is a unique tech company - global, remote-first, open source, with 700 professionals across 50 countries - we want to be the world’s best, not biggest, global software company. With almost every team remote by default, Canonical sets the pace on the 21st-century digital workplace.\nWhat Canonical offers:\n\n\nWork from home\n\nLearning and development allowances\n\nCompetitive Salary\n\nAnnual compensation review\n\nRecognition rewards\n\nGenerous annual leave\n\nPaid maternity, paternity and sick leave\n\nPriority Pass for travel\n\nExposure to international business and technology\n\n\n\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.\n\n#LI-remote\n\n#stack \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Travel, Cloud, Engineer and Backend jobs that are similar:\n\n
$70,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRome, Rome, Italy
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nPython Engineer, Boulder, CO OR Remote within U.S. for well qualified candidates\n\n \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\n \n\nAscend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com. \n\nJob Responsibilities \n\nSupport and advance back-end software applications by: \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\n \n\nRequired Qualifications \n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n2+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications \n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000, we may also consider Junior candidates in the range of $80,000 - $110,000 \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan. \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics. \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Consulting, Cloud, Sales, Engineer and Backend jobs that are similar:\n\n
$60,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBoulder, Colorado, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n
$65,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nHonor seeks a seasoned Backend Engineer to shape the architectural foundation of our next-generation operations tools. You'll take a lead role in driving the technical strategy, directly influencing our internal processes and business efficiency. Your ability to envision scalable systems, champion their development, and foster engineering excellence will be instrumental in achieving Honor's strategic goals.\n\nResponsibilities\n\n\n* Architectural Leadership: Design and independently architect robust, scalable backend systems in Python that anticipate future growth and meet the evolving needs of operations.\n\n* Strategic Vision: Influence the product roadmap for operations tools, proactively identifying how backend systems can drive better decision-making and streamlined operations across the company.\n\n* Technical Guidance: Collaborate with and mentor other engineers to provide technical direction and facilitate team efficiency.\n\n* Stakeholder Partnership: Actively engage with operations teams to deeply understand their pain points, propose innovative technical solutions, and influence overall process improvement.\n\n* Iterative & Adaptive Approach: Maintain an iterative development cycle while strategically balancing near-term needs with the long-term technical health of the platform.\n\n* React Frontend Proficiency: Ensure seamless integration with our React frontend.\n\n\n\n\nQualifications\n\n\n* Extensive Architectural Expertise: A proven track record in designing and building large-scale backend systems, exhibiting significant architectural ownership and independent decision-making ability.\n\n* Python Mastery: Exceptional depth and hands-on expertise with Python.\n\n* Strategic Influence: Demonstrated ability to drive technical decision-making, translate business goals into strategic system design, and influence cross-team alignment.\n\n* Mentorship & Collaboration: An aptitude for leading technical discussions, providing guidance to other engineers, and fostering a collaborative engineering culture.\n\n* Passion for Operational Efficiency: Keen interest in how technology can enhance and optimize core business processes.\n\n* Remote Communication Excellence: A proven expert in building relationships and driving alignment within distributed teams, prioritizing proactive, transparent communication.\n\n\n\n\n#LI-DNI\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, React, Python, Engineer and Backend jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nAustin, Texas, United States
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nHonor seeks a skilled Senior Backend Engineer to enhance and expand our next-generation operations tools. Ideal candidates will have demonstrable experience developing scalable backend solutions in Python, a knack for translating business needs into elegant technical designs, and an aptitude for independently driving projects within a highly collaborative team.\n\nResponsibilities\n\n\n* System Development & Design: Build and enhance robust backend systems and components in Python, contributing to the existing architectural direction.\n\n* Proactive Problem Solving: Contribute to feature development, troubleshooting, and identifying proactive solutions to improve system efficiency and robustness.\n\n* Stakeholder Collaboration: Build strong relationships with operations teams, effectively grasp their requirements, and propose feasible technical solutions.\n\n* Operational Impact: Analyze the impact of backend choices on business operations, proposing optimizations and advocating for changes for increased efficiency.\n\n* React Frontend Support: Help to make frontend changes and offer insight into user-facing architectural decisions.\n\n\n\n\nQualifications\n\n\n* Python Expertise: Significant hands-on experience with Python in a production environment.\n\n* Independent Execution: Ability to effectively own tasks, work with minimal oversight and proactively suggest solutions.\n\n* System-Level Thinking: Comprehensive understanding of how backend systems fit into a wider landscape, enabling well-informed design decisions.\n\n* Stakeholder Engagement: Proven ability to establish positive working relationships, proactively seek stakeholder input, and translate business requirements into actionable technical plans.\n\n* Adaptability & Growth Mindset: Thrive in a dynamic environment, open to evolving technologies and challenges.\n\n* Excellent Remote Communication: Highly capable communicator within distributed teams, maintaining transparency and effective collaboration.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Senior, Engineer and Backend jobs that are similar:\n\n
$55,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Summary\n\nThis is an exciting opportunity for an experienced software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.\n\nCanonical's Store team develops and operates the backend services that power the Snap Store and Charmhub.io marketplaces. Our services are built primarily in Python, within a bit of Golang. If you have a passion for clean APIs, have a bias towards shipping and believe that tests are the key to higher velocity and reliability, you'll fit right in.\n\nWe have some exciting challenges ahead including continuing to scale our production architecture, expand the store backend to handle additional package types, and enhance our on-prem offering for IoT and Enterprise solutions.\nWhat you’ll do\n\n\nCollaborate remotely with a globally distributed team.\n\nWrite clean web service APIs to support both CLI and web frontend clients, using Python (and optionally Golang).\n\nDesign and implement new features and enhancements from spec to production and ongoing operations at scale.\n\nReview code and technical designs produced by other engineers.\n\nDiscuss ideas and collaborate on finding good solutions.\n\nWork remotely with global travel 2 to 4 weeks for internal and external events.\n\n\n\nWho you are\n\n\nYou love technology and working with a diverse set of talented people.\n\nYou are curious, flexible, articulate, and accountable.\n\nYou value soft skills and are passionate, enterprising, thoughtful, and self-motivated.\n\nYou have a broad technology base but favor backend code and infrastructure.\n\nYou have proficiency developing public-facing APIs and web applications, preferably using Python and/or Golang.\n\nYou know your way around relational and non-relational databases and can effectively design data models that perform well, and tune queries to access them.\n\nYou are comfortable with Ubuntu as a development and deployment platform.\n\nYou have a Bachelor’s or equivalent in Computer Science, STEM or similar degree.\n\n\n\nAbout Canonical\n\nCanonical is a growing, international software company that works with the open-source community to deliver Ubuntu -- the world’s #1 cloud operating system. Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. Canonical is a unique tech company - global, remote-first, open source, with 700 professionals across 50 countries - we want to be the world’s best, not biggest, global software company. With almost every team remote by default, Canonical sets the pace on the 21st-century digital workplace.\nWhat Canonical offers:\n\n\nWork from home\n\nLearning and development allowances\n\nCompetitive Salary\n\nAnnual compensation review\n\nRecognition rewards\n\nGenerous annual leave\n\nPaid maternity, paternity and sick leave\n\nPriority Pass for travel\n\nExposure to international business and technology\n\n\n\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.\n\n#LI-remote\n\n#stack \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, Engineer and Backend jobs that are similar:\n\n
$50,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMumbai, Maharashtra, India
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
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