\nAbout AllTrails\n\n\nAllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 75 million people worldwide.\n\n\nEvery day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!  \n\n\nThis is a U.S.-based remote position. San Francisco Bay Area employees are highly encouraged to come into the office one day a week.\n\n\n\nWhat You’ll Be Doing:\n* Work cross-functionally to ensure data scientists have access to clean, reliable, and secure data, the backbone for new algorithmic product features\n* Build, deploy, and orchestrate large-scale batch and stream data pipelines to transform and move data to/from our data warehouse and other systems\n* Deliver scalable, testable, maintainable, and high-quality code\n* Investigate, test-for, monitor, and alert on inconsistencies in our data, data systems, or processing costs\n* Create tools to improve data and model discoverability and documentation\n* Ensure data collection and storage adheres to GDPR and other privacy and legal compliance requirements\n* Uphold best data-quality standards and practices, promoting such knowledge throughout the organization\n* Deploy and build systems that enable machine learning and artificial intelligence product solutions\n* Mentoring others on best industry practices\n\n\n\nRequirements:\n* Minimum of 6 years of experience working in data engineering\n* Expertise both in using SQL and Python for data cleansing, transformation, modeling, pipelining, etc.\n* Proficient in working with other stakeholders and converting requirements into detailed technical specifications; owning and leading projects from inception to completion\n* Proficiency in working with high volume datasets in SQL-based warehouses such as BigQuery\n* Proficiency with parallelized python-based data processing frameworks such as Google Dataflow (Apache Beam), Apache Spark, etc.\n* Experience using ELT tools like Dataform or dbt\n* Professional experience maintaining data systems in GCP and AWS\n* Deep understanding of data modeling, access, storage, caching, replication, and optimization techniques\n* Experienced with orchestrating data pipelines and Kubernetes-based jobs with Apache Airflow\n* Understanding of the software development lifecycle and CI/CD\n* Monitoring and metrics-gathering (e.g. Datadog, NewRelic, Cloudwatch, etc)\n* Willingness to participate in a weekly on-call support rotation - currently the rotation is monthly\n* Proficiency with git and working collaboratively in a shared codebase\n* Excellent documentation skills\n* Self motivation and a deep sense of pride in your work\n* Passion for the outdoors\n* Comfort with ambiguity, and an instinct for moving quickly\n* Humility, empathy and open-mindedness - no egos\n\n\n\nBonus Points:\n* Experience working in a multi-cloud environment\n* Experience with GIS, H3, or other mapping technologies\n* Experience with Amplitude\n* Experience with infrastructure-as-code, such as Terraform\n* Experience with machine learning frameworks and platforms such as VertexAI, SageMaker, MLFlow, or related frameworks\n\n\n\nWhat We Offer: \n* A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity\n* Physical & mental well-being including health, dental and vision benefits\n* Trail Days: No meetings first Friday of each month to go test the app and explore new trails!\n* Unlimited PTO\n* Flexible parental leave \n* Remote employee equipment stipend to create a great remote work environment\n* Annual continuing education stipend\n* Discounts on subscription and merchandise for you and your friends & family\n* An authentic investment in you as a human being and your career as a professional\n\n\n\n\n\n$170,000 - $210,000 a yearThe successful candidate’s starting salary will be determined based on various factors such as skills, experience, training and credentials, as well as other business purposes or needs.  It is not typical for a candidate to be hired at or near the top of the range of their role and compensation decisions are dependent on the factors and circumstances of each case.\n\nNature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive. \n\n\nAllTrails participates in the E-Verify program for all remote locations.\nBy submitting my application, I acknowledge and agree to AllTrails' Job Applicant Privacy Notice. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Senior and Engineer 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\nSan Francisco

\nAbout Zeotap\n\n\nFounded in Berlin in 2014, Zeotap started with a mission to provide high-quality data to marketers. As we evolved, we recognized a greater challenge: helping brands create personalized, multi-channel experiences in a world that demands strict data privacy and compliance. This drive led to the launch of Zeotap’s Customer Data Platform (CDP) in 2020—a powerful, AI-native SaaS suite built on Google Cloud that empowers brands to unlock and activate customer data securely.\n\n\nToday, Zeotap is trusted by some of the world’s most innovative brands, including Virgin Media O2, Amazon, and Audi, to create engaging, data-driven customer experiences that drive better business outcomes across marketing, sales, and service. With an unique background in high-quality data solutions, Zeotap is a leader in the European CDP market, empowering enterprises with a secure, privacy-first solution to harness the full potential of their customer data.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 2+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Cloud, Senior and Engineer jobs that are similar:\n\n $52,500 — $92,500/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\nBengaluru, Karnataka

\nSoftrams is one of the fastest growing digital services firms in the Washington Metropolitan regions crafting human-centered solutions and empowering digital services with a focus on HX, AI, cloud, DevOps and cyber security. Our offices are located in Leesburg VA, Baltimore MD, and Plano TX, and our teams are spread across the U.S. \n\n\nRecognized as a Top Workplace USA (2024)\nRecognized as one of the Top Workplaces in Technology (2023, 2021) \nINC 5000, Fastest growing companies in America (2023, 2022) \nWashington Business Journal Top 75 Fastest Growing Companies in Greater Washington area \n2020 NXT UP - Top Federal Emerging Technology and consulting firms \n2020 Inaugural DC Metro’s Most Successful Companies \n2020 Washington Technology Fast 50 \nNVTC Tech 100 (2020, 2019) \n\n\nJob Description: \nSoftrams is seeking a Data Analyst with experience in digital analytics, web analytics and user experience. As a digital analyst, you will be responsible for analyzing and optimizing digital customer journeys to improve public web user experience on federal government sites. The application of advanced analytics is expected.  \n\n\n\nFederal Requirements: \n* Ability to obtain a U.S. Federal Position of Trust clearance designation. \n* Must reside in and be able to perform work in the United States. \n* Must have lived in the United States for 3 of the last 5 years. \n\n\n\nRequired Qualifications:\n* Bachelor’s degree in data science, statistics, mathematics, public health, economics, or related quantitative field, \n* 8+ years' experience in data analysis, software/application development, business system analysis, or program integrity investigations. \n* Advanced proficiency with analytical software including Adobe Customer Journey Analytics, Python and/or R, to manipulate and analyze data and to build analytical models. \n* In-depth knowledge of statistics and algorithms used in predictive modeling, machine learning, and text analytics their appropriate use. \n* Experience with data engineering using SQL queries, Spark, and/or python and to extract and transform large volumes of data into a format suitable for analysis. \n* Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud). \n\n\n\nPreferred Qualifications: \n* Advanced degree data science, statistics, mathematics, public health, economics, or related quantitative field. \n* Knowledge and experience in healthcare, especially healthcare plans and the Affordable Care Act \n* Knowledge of working in a team-based agile work environment with certification in the Scaled Agile Framework (SAFe) or the capacity to obtain certification. \n* Strong problem-solving skills with an emphasis on analytical product development in a business context, particularly with government-related data. \n* Excellent attention to detail and ability to maintain quality control for one’s own work or the work of others. \n* Excellent written and verbal communication skills for coordinating across teams and interacting with clients. \n* Ability to manage multiple projects efficiently and able to meet deadlines with time management and organizational skills. \n* Effective writing skills with the ability to communicate complex data in a simple, actionable way. \n\n\n\nResponsibilities: \n* Develop and refine analytic solutions to model user behavior towards determining pain points and areas for improvement in website usability. \n* Leverage web analytics tools and techniques, querying large data sets, conduct advanced statistical analysis and translate results into insights to drive business actions. \n* Build tools to assess and monitor user interactions with the system for anomalies. Model and forecast website traffic for application support management. \n* Analyze user feedback using natural language processing and/or generative AI to assess user experiences.   \n* Work with human center user experience researchers and designers and the project team evaluate findings and identify solutions in the system and interface design.  \n* Prepare complete and accurate reports and documentation of objectives, methods, results and findings. \n* Formulate, implement, and manage an analytical roadmap for customer and web site analytics to ensure improvements and business objectives are achieved \n\n\n\nBenefits and Perks: \n* 65%-75% company-sponsored (including dependents) premiums towards medical, dental and vision insurance. For eligible plans and tiers, we provide 100% company-paid medical insurance. 100% employer sponsored STD, LTD and life insurance (min $100K). Voluntary life insurance option available. \n* Retirement 401(k) plan with employer matching. Immediate vesting. \n* Vacation and sick leave. \n* Maternity and parental leave.  \n* Discretionary bonuses, spot awards, gifts, and tenure-based rewards. \n* Company-sponsored role-based training and certifications.  \n* Monthly DoordashDashPass subscription. \n* Group discounts via LifeMart ADP \n\n\n\n\n\n\nPublic Trust Clearance:\nThis role requires the hired candidate to go through public trust clearance. A minimum of 3 years of stay in the U.S. within the last 5 years is required to be eligible to qualify for public trust clearance sponsorship. \n \nWork Location:\nWe have open-collaboration offices in Leesburg VA and Baltimore MD for those who may prefer to work on-site. However, Softrams is a 100% remote-first team environment. Softrams works in the eastern time zone and standard work hours are 9am ET to 5pm ET with flexibility around start and end times based on team needs.\n\n\nAbout Softrams:\nSoftrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security. We offer innovative technology implementations and build customer-centric services that are simple, intuitive, scalable, efficient and usable. \n\n\nEEO Statement:\nSoftrams, LLC. is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Softrams is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, or to participate in the job application or interview process, contact the Talent Acquisition Team at [email protected] \n\n\nKnow your rights poster: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps and Mobile 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 USA

\n\nDescription:\nWe are looking for a Back-End Staff Software Engineer (Full-Time Contractor) based in South America to join us on our mission to help people learn!\nThis is a great opportunity to work with an amazing team and drive the technology of learning products and platforms. We operate in a highly collaborative environment with Product and Design to build experiences that matter to our customers. At Nerdy, engineers do not just write code; they actively participate in the conversation on what and how to build the systems and solutions that matter to our customers. If you love your customers as much as we do, we'd love to hear from you.\nThe Staff Engineer will assume a dual role as a technical leader and a visionary for our highly complex and high-performing systems. In this capacity, they will not only provide technical guidance and mentorship to the team but also play a pivotal role in shaping and driving the overarching vision of our system, aimed at enhancing the experience for our tutors and optimizing our tutor-supply chain.\nThis position is a full-time remote opportunity. (We've been remote-friendly for years, and that isn't going away.)\nAbout the Team: \nThe Engagement team owns our student customer-facing systems, including our digital classroom and learning tools - the experiences that students learn in. If you want to have direct, meaningful impact on our customers’ learning this is the place! You will architect scalable software solutions, understand and implement best practices, and create technology that is highly performant and extensible.\nAbout Nerdy:\nNerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including Machine Learning and AI (Nerdy AI Learning Products - Press Release), to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, on-demand study support, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.\nNerdy’s shareholder letters below explain the product and strategy and are the most effective way to learn about what the company is building.\n\n* \nQ1-2024 Shareholder Letter\n\n\n* \nQ4-2023 Shareholder Letter\n\n\n* \nQ3-2023 Shareholder Letter\n\n\n\n\n \nKey Responsibilities\n\n* \nTechnical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices and architectural standards are upheld.\n\n\n* \nSolution Design: Lead the design and architectural discussions, making pivotal decisions on technologies, frameworks, and design patterns.\n\n\n* \nCode Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members.\n\n\n* \nCollaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features.\n\n\n* \nStrategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences.\n\n\n* \nProblem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance.\n\n\n* \nTeam Development: Mentor and develop team members, helping them to grow in their technical roles and careers.\n\n\n\n\nQualifications: \n\n* \nMinimum of 10 years of software engineering experience with a proven track record of working on complex systems.\n\n\n* \nExperience with one of our core languages: Go, Ruby, Python - with a strong preference for Go.\n\n\n* \nExplicit mentoring of senior-level engineers regularly, leading to results.\n\n\n* \nSignificant experience in AWS or GCP-based cloud architecture environments.\n\n\n* \nIn-depth knowledge of modern software engineering practices, design patterns, and architectures.\n\n\n* \nAbility to communicate complex technical concepts clearly to both technical and non-technical stakeholders.\n\n\n* \nDemonstrated experience in collaborating with multidisciplinary teams.\n\n\n* \nExcellent problem-solving and analytical skills.\n\n\n* \nA strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others.\n\n\n* \nAbility to implement customer-facing solutions that solve the customers’ true needs.\n\n\n* \nNerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission. \n\n\n\n\n \nBenefits:\n\n* \nCompetitive USD salary.\n\n\n* \nRemote position.\n\n\n* \nHackfest! (Multiple times per year).\n\n\n* \nFree Learning Membership for you and your household (1-1 tutoring hours, unlimited use of on-demand services, and access to our online classes).\n\n\n* \nA once-in-a-lifetime opportunity to help transform how the world learns!\n\n\n* \nA fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture.\n\n\n\n\nNerdy Leadership Principles\nRelentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot\n  \nNerdy is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\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, Cloud and Engineer jobs that are similar:\n\n $52,500 — $92,500/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\nSão Paulo, São Paulo, Brazil

\nAbout the company\n\n\nZeotap is the next-generation Customer Data Platform. It empowers brands to unify, enhance and activate customer data in a cookieless future, all while putting consumer privacy and compliance front-and-centre. Recognised by Gartner as a “Cool Vendor”, Zeotap works with over 80 of the world’s top 100 brands, including P&G, Nestlé and Virgin Media. It is also the founding member of ID+, a universal marketing ID initiative.\n\n\nZeotap is expanding its SAAS product suites branded as Customer Intelligence Platform consisting of an integrated product suite for Customer data collection, ID resolution, Predictive Analytics, Audience management and Activation. \nOur ideal candidate will be passionate about helping our enterprise customers and business teams across the globe, enjoy resolving problems, identifying root causes of issues, and thrive in a team environment. The incoming person would be responsible for end-to-end ticket resolution and communication with the customers and other stakeholders within the SLA, escalations to the internal teams based on SOPs, creation of internal knowledge based articles and perform engineering support activities as and when required.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 1+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Java, NoSQL, Senior, Marketing and Engineer jobs that are similar:\n\n $60,000 — $90,000/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\nBengaluru, Karnataka

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

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

\nJob Posted: 1/4/24\n\nLocation: Americas (Pacific Time)\n\nHi there!\n\nZapier’s on a mission to make everyone more productive at work.  With millions of people benefiting from automation, we're excited to keep expanding our product and team. As we continue to scale our product and grow our team, we’re looking for an experienced Engineering Manager to manage a remotely distributed team of Site Reliability Engineers.\n\nOur Site Reliability Engineers collaborate closely with developers, aiding in the design, automation, and maintenance of services. While developers manage the services themselves, our SREs ensure they have the necessary tools and knowledge for success.\n\nIn this role, you'll work across various teams, ensuring your group offers the right support to developers. You'll coordinate multiple projects and collaborate directly with senior leaders to set project priorities. By nurturing your team's talents, you'll enhance application reliability through a software engineering approach to operations. This position allows you to impact every engineering team within the organization, utilizing a wide range of technologies. Maintaining strong relationships and effective communication with teams is key to your success.\n\nWhen issues arise, your team will be there to address root causes, learn from failures, and establish a robust and resilient system for our customers. We prioritize solutions that automate problems rather than relying on manual efforts.\n\nJoin us in our mission to revolutionize productivity through automation!\n\n \nThings We've Done Recently:\n\n\n* Developed numerous microservices within Kubernetes, spanning across multiple AWS accounts.\n\n* Actively participated in open-source Kubernetes initiatives to bolster our stack's autoscaling capabilities.\n\n* Scaled our infrastructure to effortlessly manage millions of daily requests.\n\n* Successfully executed substantial migrations involving hosting providers, database platforms, and stateful technologies.\n\n* Established efficient deployment pipelines utilizing GitLab and ArgoCD to facilitate continuous delivery.\n\n* Crafted user-friendly tools for instantaneously launching new Kubernetes services with a simple click.\n\n* Our journey has been filled with growth and innovation, and we're excited to continue pushing boundaries!\n\n\n\n\nWe know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply.\n\nOur Commitment to Applicants\n\nCulture and Values at Zapier\n\nZapier Guide to Remote Work\n\nZapier Code of Conduct\n\nDiversity and Inclusivity at Zapier\n\n \nAbout You\n\n\n* \n\nYou're an effective team builder. This isn't your first leadership role and you've been in a direct leadership role for at least two years. You know how to hire, train, and develop Site Reliability Engineers from all backgrounds. You understand the benefits of building a diverse and inclusive SRE team. You value teamwork and believe in helping others feel safe to grow and develop. You help engineers get better at what they do, and you don’t need to be in the same room to help them succeed.\n\n\n* \n\nYou have a background in site reliability engineering. You’re comfortable talking about SLOs, incident management, and building a culture of reliability. You have empathy for our customers and our engineers who use our systems and are eager to make improvements for them. You seek to reduce toil and understand what it means to take a software engineering approach to operations.\n\n\n* \n\nYou're customer-focused. You seek to delight your customers. You have experience working directly with both internal and external customers to understand their needs. You know how to take a customer problem and help guide your team towards finding and implementing the best solution.\n\n\n* \n\nYou have excellent communication skills. You regularly work with engineers and other stakeholders, balancing engineering concerns (such as technical debt) with product concerns. Not only do you know how to share your knowledge with the team and document things well so they can be consumed asynchronously (we do this a lot as a remote company), but you know how to communicate effectively with software and support teams.\n\n\n* \n\nYou’re a strong leader. You lead by example and empathy, understand the business and how to prioritize project work, emphasize mentorship, and create an environment of learning. You understand that experimentation is essential and know how to support your team through that process. You encourage diversity of thought and know that the team is collectively stronger than any individual.\n\n\n* \n\nYou know the cloud. You’ve designed and maintained highly available, cloud-based infrastructures in AWS or another cloud offering. You understand how to leverage infrastructure as code tools and have experience implementing best practices for reliability and observability.  We use Terraform, Kubernetes, Redis, GitLab, and Datadog.\n\n\n* \n\nYou can code. You have experience with a language like Python or Go to create automated tools. You believe in hands-off deployments and infrastructure as code. Well-honed expertise with the fundamentals of software development goes a long way here.\n\n\n* \n\nYou value our values. At Zapier, our values are at the heart of how we work together and think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation. You see how these values can empower meaningful work, thrive in a collaborative setting, and are eager to continue growing excited to be part of the team.\n\n\n\n\n\n \nThings You’ll Do\n\nZapier is a fast-growing company, so you'll likely get experience on many different projects across the organization. Here are some things you'll probably do:\n\n\n* \n\nCollaborate closely with engineering peers to deliver high-quality, reliable, and efficient production software.\n\n\n* \n\n Champion the advancement of Site Reliability Engineering practices within the Engineering department.\n\n\n* \n\nLead the development of incident management processes and on-call response procedures.\n\n\n* \n\nOperate within an agile framework to provide essential infrastructure for Zapier's engineering team.\n\n\n* \n\nExecute the strategic vision of Production Engineering by identifying and delivering relevant backlog items.\n\n\n* \n\nFoster effective communication, monitoring, and leadership through weekly one-on-ones and team meetings.\n\n\n* \n\nKeep the leadership team informed of your team's progress through approaches like one-on-one discussions, updates, and regular team gatherings.\n\n\n* \n\nBuild rapport with each member of your Engineering Team (and beyond!) Support them through coaching and mentorship to help level up their skills.\n\n\n* \n\nActively participate in recruiting, onboarding, and training new engineers at Zapier, which may involve refining interview assessments and documentation.\n\n\n\n\n \nZapier Compensation Guiding Principles\n\nWe believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:\n\n\n* Competitive: Zapier pays well among the technology sector.\n\n* Equitable: Consistent pay practices; Pay for impact.\n\n* Simple: Pay is well understood, and pay practices are built for scale.\n\n* Transparent: Zapiens know how pay works, including how their pay is determined.\n\n\n\n\nThe pay ranges for this role are:\n\nUnited States $184,000- $230,000- $276,000 USD\n\nCanada  $184,000- $230,000- $276,000 CAD\n\nA Candidate's compensation package is finalized once the interview process is concluded and accounts for demonstrated experience, job knowledge, skills,  abilities, and internal equity. We use a business impact approach to base pay, which means we set pay for all Zapier employees based on their demonstrated impact to Zapier’s success. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high impact in their current role and level while at Zapier.\n\nFor more information on Zapier’s Total Rewards please click here.\n \nHow to Apply\n\n\nAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of education or companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.\n\nAfter you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!\n\nZapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.\n\nZapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].\n\nApplication Deadline: The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.\n\nEven though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.\n\n#LI-Remote\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Education, Cloud and Senior jobs that are similar:\n\n $52,500 — $85,000/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

\nReady to learn more about us?\nWe were founded in 2010 with a dynamic and agile start-up spirit. The trust of around 30 million customers and 250,000 sellers has made us the first decacorn in Turkey. Our success is backed by renowned investors such as Alibaba, General Atlantic, Softbank, Princeville Capital and several sovereign wealth funds. In 2022, we opened our first dedicated international office in Berlin and expanded to Amsterdam, Luxembourg and London. And that's just the beginning!\n\n\nTech at the root\nWe believe that technology is the driver and e-commerce is the outcome. Thanks to the dedication of our team, we have become one of the top 5 e-commerce companies in EMEA and one of the fastest growing worldwide. We currently deliver over 1.5 million parcels daily to 27 countries.\n\n\nGrowth is in our DNA\nAs a young and dynamic company, we are constantly growing and expanding. With Trendyol Tech, one of the leading R&D centres, Trendyol Express, the fastest growing delivery network, Dolap, the largest platform for second-hand goods, and Trendyol Go, our instant food and grocery delivery service, we are gearing up to become the world's leading e-commerce platform.\n\n\nFocused on positive impact\nOur vision goes beyond business success. We strive to make a sustainable and positive impact on our customers, business partners, and society. By digitizing merchants and SMEs, helping businesses grow, and promoting women's economic empowerment, we are dedicated to creating a better future.\n\n\nABOUT THE TEAM\nTrendyol Go, the local commerce arm of Trendyol Group, works to meet all the daily needs of our users and brings local merchants, couriers and Trendyol users together. We make seamless connections in real time and we are able to expand our offer to include food and fresh groceries thanks to our on-demand solution. We are delighted to strengthen local commerce with Trendyol's operational excellence by bringing marketplace solutions backed by our last mile delivery network.\n\n\nWe are all working with the same purpose: To create a positive impact in our ecosystem by enabling commerce through technology.\n\n\n\n\n\n\n\nYOUR MAIN RESPONSIBILITIES\n* Set ambitious business targets for Trendyol Go,\n* Stay on top of the entire business by closely monitoring business operations,\n* Extract actionable insights and guide the teams to ensure strategic targets are met,\n* Work cross-functionally with growth, category and operations to solve complex business problems .\n\n\n\nQUALITIES WE'RE LOOKING FOR\n* University degree preferably in MIS, Management, Engineering, Statistics,\n* Minimum 2 years of experience focusing on strategy, business planning, data analysis, business intelligence, or management consulting experience,\n* Analytical, detail-oriented and eager to learn,\n* Strong knowledge of SQL or other query language experience combined to good mathematical and statistics foundations. Looker, Python and Tableau is a plus,\n* Enjoy working in a dynamic and fast-paced environment,\n* The experience range for this position is suitable for specialist/senior specialist roles.\n\n\n\n\n\nThe personal data you submit will be processed in accordance with our privacy policy.\n\n\nWant to join us? Happy to receive your online application!\n\n\nFollow Trendyol on LinkedIn\n\n\nJOIN US AND\n* Take responsibility from day one and develop your skills with a talented and diverse international team.\n* Experience open communication, flexibility, and a start-up spirit in our unique culture.\n* Tackle big challenges in e-commerce with Agile practices and encourage growth by learning from mistakes.\n* Join creative and focused teams that prioritize collaboration and problem-solving.\n* Access our extensive training platform for continuous learning and personal growth.\n* Benefit from the support of a global team of experts with mentoring and professional development opportunities.\n* Focus on talent and potential, not just job titles.\n* Connect with teammates regardless of physical distance through events, meetings, and social activities.\n* Enjoy competitive benefits such as Trendyol shopping budget, central and international office locations, and top-of-the-line technical equipment.\n\n\n\n\nWe're looking forward to receiving your application!\n\n\nWe embrace a hybrid working model that seamlessly blends the best of both worlds—remote productivity and the collaborative energy of our vibrant offices. Every month, we gather at our offices once to work side by side, fostering in person communication and embracing the camaraderie that fuels our team spirit. These sessions are crucial for teamwork in solving complex issues, socializing, learning from each other, and experiencing our culture. \n\n\nEach division has a pre-set optional office day each week. Based on our preferences, we come together at our offices at our discretion as an opportunity to feel more team spirit, immerse in our culture, and familiarize ourselves with our way of workings.\n\n\nWe offer the opportunity for a two-month full remote work program, allowing you to work from abroad, during the summer period (July to August). \n\n\nThis working model applies to our hybrid job postings; on-site roles require being based in an office work environment.\n\n\n\n\nDiscover more about our #LifeatTrendyol and our culture on our Website, LinkedIn and YouTube channels.\n\n\nAt Trendyol, we believe in the power of an inclusive workplace. We value diversity and believe that every team member contributes to our vibrant culture. Our platform is for everyone, and so is our workplace. We encourage the representation and amplification of diverse voices in our business, as it allows us all to thrive, contribute, and shape the future together. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python and Consulting 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\nIstanbul / Maslak