\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

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

\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

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

\nABOUT EIGENLABS\n\nEigenLabs provides cryptoeconomic security as a service for blockchain projects. Our platform provides programmatic access to the trust layer of Ethereum to make components reusable, allowing builders to rely on Ethereum for security while saving time and resources typically allocated to bootstrapping their own token. EigenLabs technologies also create technical value & efficiency for validators in Ethereum’s proof-of-stake network by enabling them to "re-stake" their assets. Re-staking allows validators to secure multiple protocols and boost rewards by providing security services to oracle networks, data availability networks and dApps running on rollups or side-chains. We’re on a mission to hyperscale ETH & dApps and increase decentralization through re-staking!\n\nTHE ROLE\n\nAt EigenLabs, our engineering teams operate within a customer-aligned team structure, where we believe in shared responsibility for DevOps among all software engineers. As an Infrastructure Software Engineer, you will lead the design and implementation of critical infrastructure components while fostering a culture of collaboration and best practices adoption within your team, and across the company. \n\nYou will work closely with frontend and backend software engineers, leveraging your expertise to empower the entire team to collectively maintain, operate, and enhance infrastructure resources effectively. By championing leading practices, automation, and efficient workflows, you will ensure that our customer-aligned teams can deliver high-quality software solutions with speed, security, and reliability.\n\nYour leadership in infrastructure design, implementation, and reliability engineering will directly contribute to EigenLabs' commitment to blockchain innovation and advancing economic freedom through technology. If you’re passionate about shaping the future of blockchain, and making a meaningful impact on the world, we look forward to hearing from you!\n\nWHAT YOU WILL DO\n\n\n* You will lead the design and implementation of foundational infrastructure components used by every engineering team in production. This includes dynamic configuration, DNS and networking setup, secrets management, container orchestration (e.g., Kubernetes, including platforms such as EKS).\n\n* Demonstrate leadership by taking the initiative to address challenges and drive continuous improvement. Foster a culture of best practices adoption and automation within your team. Share your expertise to empower frontend and backend engineers to efficiently maintain, operate, and enhance infrastructure resources.\n\n* Utilize your proficiency in cloud infrastructure platforms such as AWS, GCP, or similar to optimize our infrastructure for scalability and performance.\n\n* Collaborate with cross-functional teams to identify and implement improvements in infrastructure, monitoring, and incident response.\n\n* Make significant contributions to operational excellence initiatives, ensuring the highest level of efficiency and reliability in our infrastructure. Administer network capabilities and support CI/CD pipelines. Monitor infrastructure using tools like Prometheus, Grafana, or similar. \n\n* Implement and maintain security best practices across all aspects of our infrastructure, including access controls, encryption, and network security\n\n* Participate in on-call rotations to ensure the continued reliability and uptime of our services\n\n* Design, implement and champion Continuous Delivery (CI/CD) principles to automate software development and deployment processes.\n\n* Articulate a long-term vision for maintaining and scaling our infrastructure, aligning it with our product and technical goals.\n\n* Build tools for blockchain node operators that make it easy to launch and operate different types of validator environments\n\n* Proactively contribute to discussions about technical issues, sprint and roadmap planning, and improving engineering processes\n\n\n\n\nWHAT YOU WILL BRING\n\n\n* 5+ years of direct experience in infrastructure, SRE or back-end engineering with public cloud and Linux-based systems.\n\n* Strong design and implementation experience with at least one major cloud platform (AWS preferred)\n\n* Knowledge of authentication, authorisation and accounting (IAM, Federation, RBAC, service accounts) for public cloud and kubernetes\n\n* Containerization and container orchestration with Docker and Kubernetes. Experience with container hardening and implementation within Kubernetes.\n\n* Proficiency in at least one back-end development language such as Python, Go, or C++\n\n* Expertise in Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, etc., enabling efficient automation and configuration management.\n\n* Demonstrated experience in production environments with proactive monitoring, logging, alerting,  and profiling with tools such as Prometheus, Grafana, ELK Stack (or alternative log analysis platforms) to ensure robust performance monitoring and troubleshooting capabilities.\n\n* Experience developing and maintaining CI systems (e.g., GitHub Actions, Jenkins, or CircleCI) to facilitate automation of the SDLC. Working knowledge of CD tooling (e.g., AWS Code Pipelines, ArgoCD, Flux), and an understanding of how GitOps deployment models operate\n\n* 3+ years experience with one or more programming languages, preferably Go or Python.\n\n* Knowledge of security best practices, encompassing encryption methods, key management, access control mechanisms, and network security protocols that contribute to the overall security posture of our infrastructure. \n\n* Strong understanding of core Internet protocols: DNS, TCP/SSL, HTTP, gRPC, etc.\n\n* Proven ability to take ownership of projects and work independently. Proficiency in effectively communicating project statuses and diligently documenting activities. Expertise in maintaining meticulous attention to detail across diverse, blockchain-centric environments.\n\n* Track record of successfully delivering complex and high-scale infrastructure\n\n\n\n\nNICE TO HAVES\n\n\n* Contribution to open source projects and/or developing open source tools is advantage\n\n* Data visualization, and observability tooling experience\n\n* Expertise in scaling and migrating systems in dynamic environments, with a strong understanding of incident management processes.\n\n* Experience in information security, including vulnerability assessments, penetration testing, and implementing and automating security controls, with expertise in security protocols (TLS, SSL, SSH) and frameworks (NIST, CIS, ISO 27001). Experience responding to security audits. \n\n* Service discovery and service mesh technologies such as Istio, Linkerd.\n\n* Good understanding of blockchain fundamentals, including wallets, smart contracts, protocol design\n\n* Experience with Liquid Staking or Ethereum Node Operations platforms\n\n\n\n\n \n\nIn compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $225,000 - $250,000 is the annual base salary. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, EigenLabs provides various employee benefits, including: \n\n\n* Employer-covered Medical, Dental, and Vision plans\n\n* 401k \n\n* Unlimited Paid Time Off\n\n* 12 weeks of fully paid maternity and paternity leave \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, Ethereum, Docker, Accounting, DevOps, Cloud, Node, Senior, Engineer and Backend jobs that are similar:\n\n $57,500 — $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

ABOUT YOU   \n\nYou are excited about connecting with the world and want to join a small team of ambitious technologists. You have a strong passion for building cool products and want to work somewhere where you’re trusted from Day 1. You appreciate the sense of ownership and being recognized and rewarded properly for all the work that you have done. You also have a strong desire to work directly with the founders who have world-class experience on developing products from the ground up and launching them into the market. You will support our deployment operations and set best practices within our engineering team. You will be a proactive leader, capable of guiding the team toward optimal operational procedures and implementing innovative solutions.\n WHAT YOU’LL DO\n\n\n* Support the implementation and management of DevOps practices across our engineering team.\n\n* Design, build, and maintain CI/CD pipelines using Azure DevOps.\n\n* Collaborate with software developers, system operators, and other IT staff members to manage code releases.\n\n* Streamline and automate our operations and processes, building and maintaining tools for deployment, monitoring, and operations.\n\n* Troubleshoot and resolve issues in our development, test, and production environments.\n\n* Guide the team in adopting best practices in DevOps, CI/CD methodologies, and cloud technologies.\n\n* Provide technical guidance and educate team members on automation and DevOps best practices.\n\n* Continuously evaluate and incorporate new technologies to improve the development process.\n\n\n\n REQUIREMENTS\n\n\n* 3+ Years of Terraform\n\n* 3-5 Years proven experience as a DevOps Engineer or similar software engineering role.\n\n* Proficient with Azure DevOps tools and environments.\n\n* Strong experience in building and maintaining CI/CD pipelines.\n\n* Excellent knowledge of code versioning tools such as Git and Azure Repos\n\n* Experience with scripting languages like PowerShell, Bash, etc.\n\n* Familiarity with database technologies (SQL, NoSQL) and web services.\n\n* Strong problem-solving and communication skills.\n\n* Ability to work independently and as part of a team.\n\n* Bachelor’s degree in Computer Science, Engineering, or related field.\n\n* Comfortable working within an Extreme Programming environment\n\n\n\n BONUS POINTS FOR\n\n\n* AWS DevOps\n\n* GCP DevOps \n\n* Power BI\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 DevOps, Cloud and Engineer 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\nToronto, Ontario, Canada

Operational Data Engineer - Ab Initio & Snowflake\nLondon\n\nWe have a great opportunity for an Operations Engineer to join our Data Strategy and Operations team in London. This role will undertake Operational duties as well as pick up support for our operations applications.\n\nThe Engineer is required to work within the Operations team with the successful applicant responsible for the operation and support of the Business Intelligence\n\nPlatform. They will be required to fit into a highly skilled team and work with limited supervision, under their own initiative.\n\nThe role is based in our London office, reporting to our Technical Engineering Manager. Currently the team is working in a flexible manner allowing for some remote working. This team provides business intelligence services for various global business units associated with Sony Interactive Entertainment.\nWhat you'll be doing:\n\n\n* Provide 1st/2nd line support for the Production data processing platform, including response to and resolution of any failures, maintenance or upgrades\n\n* Proactive monitoring and troubleshooting of the platform\n\n* Undertake production releases into the platform\n\n* Ability to identify and automate manual tasks where you can make time or cost savings\n\n* Conduct code peer reviews with particular emphasis on operational aspects\n\n* Configuration management of code, covering versioning, deployments and building of tags\n\n* Investigation, management and prioritisation of any incidents or queries raised\n\n* Perform impact analysis, identifying ways to make operational improvements and make code changes to improve resilience or efficiency\n\n* Evaluate new capabilities built by vendors through PoC's or pilot projects\n\n* Liaise with data providers\n\n* Communication with end users and explanation of technical terms and concepts\n\n* Work with Scrum Masters, Developers and Product Owners to develop ideas and give updates on work\n\n* Acting as the first line advisory and support for end users on ‘How-to’ questions\n\n* Liaising with vendor with follow up on technical issues\n\n\n\nWhat we're looking for:\n\n\n* 2+ years experience in UNIX, including shell scripting, admin and utilities.\n\n* Skilled in scripting (Python, Bash)\n\n* Skilled in Linux and comfortable in using command line\n\n* Understand ETL concepts with 2-3 years proven experience with an ETL tool (Ab-Initio preferred)\n\n* Demonstrable experience working on and supporting large-scale complex data processing platforms\n\n* Experience in working with SQL and large data volumes\n\n* Understanding of other data processing technologies and knowledge of data warehouse appliances, e.g. Snowflake (preferred)\n\n* Undertaking Production environment releases\n\n* Strong troubleshooting and problem-solving ability\n\n* Interpersonal skills including presentation, negotiating, conflict resolution, etc\n\n* Strong communication skills\n\n* Proven abilities to work creatively and analytical in a problem-solving environment\n\n* Experience in a similar role, with proven expertise gained in complicated, business critical projects\n\n* Strong can-do attitude with an appetite for learning and developing further\n\n* English: Fluent\n\n\n\nDesirable:\n\n\n* Experience using AWS Cloud technology\n\n* Knowledge of business intelligence reporting suites\n\n* Appreciation of emerging and newer technologies\n\n* 1-2 years proven experience in using Airflow\n\n* Knowledge of JIRA and AGILE working practices\n\n* Knowledge of Jenkins\n\n* Knowledge of data science tools and techniques\n\n* Other programming languages\n\n\n\nBenefits:\n\n\n* Discretionary bonus opportunity\n\n* Hybrid Working (within Flexmodes)\n\n* Private Medical Insurance\n\n* Dental Scheme\n\n* 25 days holiday per year\n\n* On Site Gym\n\n* Subsidised Café\n\n* Free soft drinks\n\n* On site bar\n\n* Access to cycle garage and showers\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 Cloud, Engineer and Linux jobs that are similar:\n\n $40,000 — $65,000/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\nLondon, England, United Kingdom

Building the Future of Crypto \nOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.\nWhat makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.\nBefore you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission.\nAs a fully remote company, we have Krakenites in 60+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Kraken Futures.\nBecome a Krakenite and build the future of crypto!\nProof of work\nThe team\nThe Integration & automation team is responsible for owning and managing the various critical integrations & automations supporting multiple business functions including HR, Finance, Engineering, IT & Security. This team works closely with our business stakeholders to identify opportunities/pain points and groom requirements to deliver best-in-class solutions using integration and automation capabilities. This team supports business critical operations & executes on strategic business projects. \nThe Sr. Engineer - Integration & Automation will be responsible for partnering closely with business to understand business pain points & areas of opportunity within HR, Finance & Legal processes and operations. This role will design and develop automations and integrations to improve data accuracy, increase cost savings, increase productivity and overall efficiency. This position will work cross functionally with other departments including product and engineering to collaborate on larger company wide initiatives. This position will act as a senior member of the team and provide technical subject matter expertise and advisory to business to implement best in class solutions for security, performance and operational efficiency. \nThis role will require thorough knowledge and understanding of industry best practices and modern day tools and methodologies in the Integration & automation domain. This individual has prior experience implementing and administering critical integrations and automation solutions for key business functions. This role reports to the Sr. Director of IT. \nThe Opportunity\n\n\n\n* Groom requirements and conduct design sessions with business for integrations and automations.\n\n* Architect and build integrations between core internal and external applications (including on-prem and on-cloud)\n\n* Develop automations to improve efficiency within business operations and save man hours.\n\n* Design, develop, test, launch and support critical integrations and automations within enterprise applications.\n\n* Work with IT & Security teams to understand automation needs to build automations to scale operations and enable the highest level of security.\n\n* Advise on best practices and recommend best in-class integrations design and solutions considering scale, security, and performance.\n\n* Work cross functionally with various engineerings and business teams to document details process and data flows to align on design\n\n* Build prototypes and demo with customers to show value and gather feedback for evolving the solution.\n\n* Explore new technologies and embrace change in tech stack and develop methodologies for continuous improvement\n\n* Document and publish integration and automation artifacts for various projects.\n\n* Asses existing technologies and applications to assess & identify tooling for future.\n\n\n\nSkills you should HODL\n\n\n\n* 4+ years of experience with developing complex integration solutions in a hybrid environment involving iPaaS solutions (like OneCloud, Dell Boomi, Mulesoft, etc) and on-prem solutions to integrate between critical apps and systems for various business departments.\n\n* 3+ years of experience building automations in a hybrid environment involving on-cloud solutions (like Zapier, Workato, etc) and on-prem solutions to automate critical business operations and procedures for various business units like HR, Finance, Product, etc\n\n* Experience building integration jobs or automations using Golang and Typescript/NodeJS\n\n* Programming experience with Python and/or Rust a plus\n\n* Point-to-Point Integration, Hub-and-Spoke Integration, and Bus Architecture will be a plus.\n\n* Experience working with cloud computing platforms via Infrastructure As Code (IaC) such as Pulumi, Terraform, and/or Ansible will be a plus\n\n* Deep technical knowledge and experience with enterprise level technologies (HRIS systems, identity management, secure messaging and collaboration, data storage and organization applications) is critical.\n\n* Experience building and managing enterprise software and integration solutions for 3rd party enterprise products will be critical.\n\n* Prior experience managing a team of engineers will be a plus\n\n* Experience with RPA or Generative AI is a plus.\n\n* Experience building and managing test automation for critical applications will be a plus.\n\n* Excellent communication and interpersonal skills are essential.\n\n\nKraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!\nAs an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. \nStay in the know\nFollow us on TwitterLearn on the Kraken BlogConnect on LinkedIn\n \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, Finance, Cloud, Senior, Golang and Engineer 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\nRemote Anywhere