\nAbout Commonwealth Fusion Systems: \n\n\nCommonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.\n\n\nCombining decades of research, top talent and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future. \n\n\nWe’re in the best position to make it happen. Since 2018, we’ve raised over $2 billion in capital – more than any other fusion energy company in the U.S.\n\n\nNow we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team. \n\n\nIf that’s you and this role fits, we want to hear from you.\n\n\nJoin the power movement as a Senior Scientific Software Engineer\n\n\nThe Scientific Software team at CFS develops software that helps us understand and build superconducting magnets and tokamaks. The primary project for this role will be developing software for a fiber optic quench detection system. A quench is an event where a superconducting magnet goes into thermal runaway, and SPARC will incorporate a system using fiber optic cables to detect and mitigate these events. We seek an experienced software engineer (Senior to Principal level) to help develop an algorithm for detecting quenches based on the data received by the fiber optic system. \n\n\nOne of the tools used to develop the algorithm is a fiber model written in Python that simulates the expected signals during a quench and nominal operations. The engineer will also help increase the accuracy and performance of the simulation. The development of the fiber model and the quench detection algorithm are informed by experiments, ranging from bench top tests to full sized magnets. The engineer will be responsible for analyzing experimental data from these tests to validate the fiber model and test and develop the quench detection algorithm.\n\n\n\nWhat you'll do:\n* Rapidly learn and improve complex physics-based models and simulations from first principles optics and physics\n* Enhance quench detection algorithm performance (i.e. reduce quench detection false positive and false negative rates), by applying image and signal processing techniques to time-series spectral data\n* Collaborate with cross-functional teams, including the physics, production, and SPARC Software (real-time controls) teams, to identify and execute on key data and algorithm needs\n* Clearly communicate technical results and project progress\n* Develop, implement, and maintain CI/CD pipelines to streamline development processes, ensure code reliability, and reduce operational overhead\n\n\n\nWhat we’re looking for:\n* Bachelor’s degree in a technical field preferred\n* Programming language: Python, including type hinting and object-oriented features.\n* Basic understanding of numerical methods, linear algebra, and differential equations.\n* Understand the basics of the project’s physics aspects (e.g., undergrad-level electromagnetics and optics)\n* Data analysis using pandas, numpy, matplotlib, or other similar Python packages\n* Experience with at least one of the following: signal processing, machine learning, and data analytic tools\n\n\n\nBonus points for: \n* Programming languages: C++, Rust, or experience with low-level performance and memory management\n* Concurrency and parallelization\n* Demonstrated experience building a simulation framework that uses physics-based modeling\n\n\n\nMust-have Requirements: \n* Perform activities such as typing or sitting for extended periods of time\n* Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics\n* Willingness to travel or work required nights/weekends/on-call occasionally\n\n\n\n\n\n$140,000 - $200,000 a yearSalary range for this full-time position + equity + benefits. The actual salary will depend on level, location, qualifications, and experience. The range displayed on each job posting reflects new hire salaries for the position across all US locations. Benefits include:•  Competitive compensation with equity•  12.5 Company-wide Holidays•  Flexible vacation days•  10 sick days•  Generous parental leave policy•  Health, dental, and vision insurance•  401(k) with employer matching•  Professional growth opportunities•  Team-building activities\n\n#LI-Remote\n\n\nAt CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges.\n\n\nWe value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. \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 $60,000 — $135,000/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\nDevens, MA

\n​Here at Shippo, we are the shipping layer of the internet and we consider ourselves to be one of the core building blocks of e-commerce.Our mission is to make merchants successful through world class shipping. With our products and solutions, we level the playing field by providing our customers with best-in-class solutions that otherwise wouldn’t be available to them. Through Shippo, e-commerce businesses, marketplaces, platforms and a variety of logistics infrastructure providers are able to connect to shipping carriers around the world from one API and dashboard. We provide our customers with the most competitive shipping rates, print labels, automated international documents, shipment tracking, facilitate the returns process and more.\n\n\nWe are seeking a highly skilled Principal Software Engineer with expertise in decomposing monolithic applications within a complex environment. The ideal candidate will lead an ongoing effort to break down our application into smaller, more manageable services while implementing best practices for testing, observability, and enhancing the developer experience. This role is crucial in driving the modernization and optimization of our software architecture to align with industry standards and improve overall system performance.\n\n\nShipping & handling responsibilities:\n\n\n- Lead the decomposition of a monolithic application into microservices or smaller components, optimizing for scalability and flexibility.\n- Drive the adoption of best practices for testing, including unit testing, integration testing, and automated testing to ensure high code quality and reliability.\n- Implement strategies for observability, monitoring, and logging to enable efficient troubleshooting, performance optimization, and proactive issue identification.\n- Collaborate with cross-functional teams to enhance the developer experience through streamlined processes, development tools, and documentation.\n- Up-skill and guide a team of engineers in software design principles, best practices, and modern architectures.\n- Stay updated on industry trends, emerging technologies, and best practices to continuously improve the software development lifecycle.\n\n\n\nDo you tick the ​​boxes​​?\n* 10+ years of experience in software development\n* Experience in decomposing an existing application into service oriented architecture\n* Extensive experience working in complex distributed architectures\n* Strong proficiency in software design principles, architecture patterns, and system decomposition strategies\n* Demonstrated expertise in testing methodologies, including test automation, test-driven development, and continuous integration/continuous deployment\n* Deep understanding of observability tools, monitoring systems, and logging frameworks\n* Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders\n* Proven track record of implementing best practices and driving software modernization initiatives\n* Strong leadership skills with the ability to mentor team members and influence technical decisions\n* BS or MS degree in Computer Science or equivalent experience.\n\n\n\nBonus\n* Prior experience working or interacting with shipping and/or postal carriers\n* Experience integrating with APIs that use REST and/or gRPC protocols\n* Experience with Django and/or FastAPI.\n* Experience using Python and/or Golang in production at scale\n* Interest and experience in performance tuning, concurrency, microservices, security, and data analytics\n* Experience with messaging systems such as NSQ, Kafka, SQS and Celery\n* Experience with DevOps tooling such as Docker, Terraform, Kubernetes, CircleCI, GitHub Actions, ArgoCD, New Relic, PagerDuty, etc\n* Experience with AWS/Cloud services such as EC2, S3, DynamoDB, Lambda, Route 53, Cloud Formation, Cloudflare, IAM, etc.\n\n\n\nWhat's in the Shippo package:\n* Healthcare coverage for medical, dental, and vision (90% covered by the company, incl. dependents). Pets coverage is also available!\n* Take-as-much-as-you-need vacation policy & flexible working \n* One week-long company wide winter shutdown \n* 3 Volunteer Days Off (VTOs)\n* WFH stipend to set up your home office\n* Charity donation match up to $100\n* Dedicated programs, coaching, tools, and resources for your professional and career growth as well as an individual learning stipend for your personal and focused growth\n* Fun team in person time through our Shippos Everywhere program which includes regular team and company off-sites throughout the year as well as local Shippos gatherings\n\n\n\n\n\n$191 - $258 a year\n\nOur Compensation Shippolicy:\nWe believe compensation is a custom experience and are commited to fair and equitable compensation practices. The standard base pay range for this role is min $191k to a max $258k annual salary (standard range). We tend to anchor our offers in the mid point ($225k). Since we are focused on hiring Shippos Everywhere, we have 2 US pay ranges, a standard compensation range for the majority of the US and a standard +1 compensation range for those who live in areas where the cost of labor is higher, such as NYC and California.\nThe actual base pay is dependent upon many factors, such as: financial budgets, work experience, training, transferable skills, business needs, and market value. The base pay salary ranges are subject to change and may be modified in the future. Total compensation for this role will include, equity, medical, dental, vision and other benefits noted in our Shippos “package” section.\n\n\nSail through the process:\nHere at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives and geographies. These values define who we are and everything we do. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at [email protected]\n\n\nShippos in the wild:\nOur people, much like the packages we help ship, are all over the world. This means, through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico and West Virginia and many roles can be based internationally.\nFor locations outside of the US and Ireland, the employment contracts are powered by Remote.com (all Shippo perks still apply - including equity!). What we want to emphasize is that you can be successful at Shippo regardless of location. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Django, Testing, DevOps, Cloud, API, Golang and Engineer jobs that are similar:\n\n $65,000 — $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\nUnited States

\nWe are hiring a PHP Staff Engineer to focus on backend application work and technical leadership while contributing to DevOps, data, and frontend work as necessary. We’re a small team, so the blend will depend on the individual and the project.\n\n\nIdeal candidates will have an incredibly strong Web SaaS background, a decade or two of Web-based professional history, and a deep comfort with PHP. You are consistently assessing whether technical choices are adding or removing system complexity. You enjoy enabling your teammates to do their best work with clear & appropriate feedback, tailored guidance, and thoughtful workload sharing. You are deeply critical of which technical choices and work will have the most meaningful impact on our goals.\n\n\nThis role offers 160K/yr and participation in our ESOP (Employee Stock Option Program) with a 4-year vesting schedule. If you start by 1 April, you’ll be eligible for the company-wide annual 1 July pay raise. If you’re interested in the role but have questions or feedback, please email the hiring manager. No one’s resume will get buried for being critical, it’s kinda the point of the job.\n\n\nWe will accept applications through Friday, 21 February and begin the email screening process as soon as possible. Initial interviews will ideally be scheduled for 24-27 February, and second interviews the week of 10 March. There are two 90-minute interviews (hiring manager + panel) and we request 3 professional references (but let's talk anyway if you have circumstances that make that impossible). We are filling this role ASAP, preferably no later than 1 April. Please note availability concerns in your application! We can be flexible and are happy to accommodate whenever we can. \n\n\nAbout uConnect \n\n\nuConnect is on a mission to help more people realize their potential by improving access to career services for all people - early in their lives and throughout their careers. Focused on the traditional higher education market, uConnect's All-In-One Virtual Career Center is used by a wide range of institutions including UCLA, MIT, and Baton Rouge Community College to radically improve utilization of career services, career readiness and student outcomes.  We're a mission-driven team working in a fun and collaborative culture which puts people first. uConnect is backed by leading technology investors including Growth Street Partners, Strada Education and LearnLaunch.\n\n\n\nCore responsibilities\n* Collaboratively plan, document, and execute complex web application programming tasks. This is foremost an individual contributor role responsible for shipping.\n* Adhere to team coding standards and architectural principles.\n* Demonstrate advanced knowledge of one or more relevant programming languages in day-to-day use.\n* Demonstrate best practices in submitted code.\n* Make informed decisions about what qualifies as in- and out-of-scope for current tasks and communicate those decisions succinctly and thoroughly.\n* Raise concerns, questions, and ambiguities for team discussion; lead consensus-building.\n* Identify risks in current code, environment, and/or process; recommend alternatives.\n* Add automated low-level tests to code as appropriate.\n* Troubleshoot existing code for defects, performance issues, or other unwanted behavior.\n* Take ownership of overall application code base and be accountable for its long-term health, performance, and alignment with team goals.\n* Take on independent investigations or maintenance projects to enable the rest of the team.\n* Take a leadership role in overall technical decisions and direction.\n* Work cross-functionally with Product, Customer Success, and other stakeholders to identify the best outcomes possible given our goals and constraints.\n\n\n\nSecondary responsibilities\n* Assist with support and bug triage.\n* Assist with CI/CD pipeline as necessary.\n* Assist with E2E tests as necessary.\n* Improve application observability with logging and automated alerting.\n* Explain technical concepts to non-technical stakeholders.\n* Guide and mentor other engineers of all levels with their professional growth and learning.\n* Assist with hiring engineers as requested.\n* Investigate new technologies for applicability to current and future engineering challenges.\n* Monitor the broader technology ecosystem for significant changes and brief team.\n* Respond to priority support incidents during off-hours in rare business-critical situations.\n\n\n\nWhat will a typical day look like?\n* Attend daily engineering standup (Mon-Thu). What’s blocking you, and how can you help your teammates? Sometimes we also do work refinement during this time.\n* Meet with stakeholders and peers to understand and prioritize needs.\n* Programming new product features, upgrading existing functionality, and updating dependencies and pipelines.\n* Performing code review async via pull request or synchronously via Zoom.\n* Validating application functionality through the use of both automated and manual testing.\n* Pairing with another engineer to trade experience or collaborate on a particular challenge. (We encourage pairing as needed and it shouldn’t be “never” but there’s no mandate.)\n* Researching tools, patterns and practices relevant to current or future work.\n* Writing internal documentation about technical choices, runbooks, or team practices.\n* Working with your manager to discuss and implement guidance or technical coaching plans for other engineers.\n* On Fridays (or an equivalent amount of time elsewhere in the week at your discretion), you’re encouraged to pursue team-agreed work that isn’t explicitly toward the product roadmap, like tool upgrades or technical research. We are purposefully targeting 20% of capacity toward maintenance work.\n\n\n\nCore skills & experiences (You check most of these boxes)\n* Building and maintaining Web SaaS products for at least 5 years (12+ is ideal).\n* Advanced programming experience in a Web server context, PHP strongly preferred.\n* Programming experience in JavaScript and HTML/CSS.\n* Advanced SQL query authoring and relational database design constraints.\n* Working remotely with a cross-functional team & collaborating with other engineers.\n* Task refinement & scoping, self-organization, and prioritization.\n* Team-based communication (asking for what they need and conveying challenges and timelines proactively), active listening, and consensus building.\n* Giving and receiving constructive and well-communicated code review feedback.\n* Experience with one or more web application frameworks, especially event-based (as in WordPress, not Kafka).\n* Troubleshooting DNS and web request / server response structures.\n* Validating code using test automation (unit or functional/integration).\n* Controlling major sources of application complexity and managing dependencies thoughtfully.\n\n\n\nAccretive skills (We hope you check a few of these boxes)\n* Using, designing, documenting, and building REST APIs.\n* Experience with WordPress (or similar).\n* Experience using caching layers to improve web application performance.\n* Building & improving CI pipelines (we use BitBucket).\n* Evaluating application-level security and remediation of flaws.\n* Evaluating & implementing accessibility requirements.\n* Experience with data pipelines, feed processing, and/or data migrations.\n* Working with Python (used in our data pipeline), data warehouses, and/or data visualization (We use GCP / BigQuery / Looker).\n* Iterative self-directed learning is second nature to you.\n* You’ve read resources or books like Will Larson’s Staff Engineer and are thoughtful about the strategic role of the Staff Engineer in an organization.\n\n\n\nWhy take this role?\n* High impact, high efficiency, sustainable efforts, & minimal politics. Our entire company culture is oriented to winning together, not individual interests.\n* Truly flexible work schedule with consistent effort to minimize meetings and prioritize individual needs. Unlimited PTO, 15 holidays, plus a mostly-shutdown entire final week of the year.\n* Commitment to a healthy engineering culture with a focus on great documentation, team-based work refinement, and clear acceptance criteria. We’re not done improving how we work.\n* We’re not just “committed to diversity”, we have a diverse & inclusive team and continue to iterate on policies that support it.\n* You're aligned with our mission of improving access to career services & employment outcomes for higher education students by supporting their individual needs.\n* Your 5-year plan could involve deepening your technical skills and focusing on impact as a special project “solver”, becoming the technical lead of a second product team as it forms, or transitioning into an engineering management role. (It likely does not involve becoming an overall project “architect” as that is our principal’s primary role.)\n\n\n\nCompensation package\n* $160,000 annual salary (with annual raise 1 July).\n* 4-year vesting stock options\n* Unlimited PTO (you must use at least 3 weeks; 4-6 is normal)\n* Health insurance (Gold PPO) premium 100% covered for employee & 60% for dependents (Dental 75% for employee & 50% for dependents; Vision 75% for employee)\n* 4% 401K contribution (3% full match + 2% half match)\n* $600 annual home office stipend\n* 12 weeks parental leave (after 1 year)\n* Guaranteed remote work policy (there’s no office)\n\n\n\nHiring process\n* Screening over email (call optional)\n* 90-minute alignment interview (Zoom video)\n* 90-minute functional area interview (Zoom video)\n* Pre-offer stage: (1) 60-minute Meet & Greet with CEO (Zoom video), (2) 3 references (preferably all who worked directly with you for 6 months or more; 1 senior to you in your team or reporting chain)\n* Background check (we do not automatically disqualify applicants for non-violent criminal convictions)\n\n\n\nAbout the team\n* We are fully remote, but require employees reside in the continental US or Canada due to time zones & compliance overhead.\n* We employ 7 full-time engineers (Manager, 4 Application, 1 Data, 1 QA Automation) that lean senior (2 staff-level, 3 senior-level, 2 mid-level, 0 entry — yes, that’s the scale). There is 1 product manager (with plans to grow).\n* No engineers have left the company in 3 years. Our principal engineer has been with the company 12 years. \n* We use a Kanban workflow in Jira (“kanban-like” if we’re being pedantic) with clear acceptance criteria and Gherkin for testing criteria.\n* In 2024, half our tickets were in support of our strategic roadmap, 20% were maintenance work, and the rest were requests (support escalations and other non-roadmap work).\n* We primarily build in a WordPress-based monolith with a few ancillary AWS services.\n* We have managed hosting, so there is no on-call rotation, but as a staff engineer you will be on the short-list of emergency technical contacts. (We had zero emergencies in 2024.)\n* Two years ago, we had zero automated tests. Today, we have more than 500 (300 of which are E2E) and will aggressively increase that number this year, focusing on PHP integration tests in a specific section of the product.\n* We’re publishing our interview plan, onboarding impact plan, and performance review criteria for this role. Our small team works best by being engaged, taking ownership, and exercising critical thinking every day. This role is critical to continuing and expanding that strategy, so consider coming to your interviews with good questions.\n* West coasters beware: Standup is 10:30am ET (Mon-Thu; we don’t have standing meetings on Fridays). It is our team’s only standing meeting (besides 1:1s with your manager and monthly All Hands).\n\n\n\nWhat will your 90-day onboard look like?\n* Weeks 1: Meet people, read docs, complete training, set up your localhost, ask questions. We’re not a “commit code on day 1” shop; relax & adapt. Check in with your manager daily.\n* Weeks 2-4: Dig into team’s current problem set and how you can start contributing now, while also learning medium- and long-term goals to start aligning decisions with them. Join the team’s workflow and complete prioritized work. Check in with your manager a few times a week.\n* Months 2-3: Take work that aligns with your learning goals to quickly expand your exposure to various parts of the product and stack. Make strong contributions, but more biased toward learning than highest priority, tapering back toward priority-based work toward the end of 90-days at the pace that makes sense. Choose a longer-term 1:1 pace.\n\n\n\n\n\n$160,000 - $160,000 a year\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Wordpress, Python, Testing, JavaScript, Education, PHP, Senior, Engineer and Backend jobs that are similar:\n\n $50,000 — $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\nCambridge, MA or Remote

\nThis role is one of our general tracks. Apply here for all engineering teams at Canonical who work on low-level system technology and embedded systems, across all seniority levels.\n\nWe hire careful and conscientious engineers who appreciate the challenge of memory, performance, battery and connectivity constrained code that has to work every time in an unreliable and unforgiving world, on x86, ARM or RISC-V silicon.\n\nCanonical Ubuntu is the leading Linux for software engineers, desktops, cloud and IoT. We bring open source to the world as a high-performance, safe and secure platform for enterprise computing, software engineering, and connected devices.\n\nThese smart, connected devices have the potential to transform every industry. Classic Ubuntu – desktop or server – is widely used in embedded systems because of its developer focus and enterprise grade security maintenance. We partner with the world's most prominent silicon companies to optimise Ubuntu on their latest and greatest chips, as well as with major OEMs and ODMs (PC, servers and connected device manufacturers) to ensure that Ubuntu works perfectly on their hardware.\n\nBut while classic, ‘deb’ based Ubuntu is ideal for developers, it has too much variability for appliance or connected device environments, where you want to know *exactly* what the state of millions or billions of devices might be. So Canonical builds Ubuntu Core, a fully containerised version of Ubuntu that is mathematically precise and rigorously secure. We are working on additional solutions for even smaller devices.\n\nWe have several teams that focus on open source for embedded environments. We hire outstanding Linux and RTOS software engineers with a passion for open source, innovation, cutting-edge hardware and software technologies in general. You will be expected to make significant contributions through high-quality design and code, and to develop your technical leadership.\n\nThese roles include:\n\n\n* Ubuntu Core and snapd software development \n\n* Silicon software and optimisation engineers \n\n* Kernel driver and hardware enablement engineers \n\n* Hardware-centric Linux QA Engineers \n\n* Hardware Certification Engineers \n\n* Robotics engineers \n\n* Industrial IoT software engineers \n\n* Networking software engineers (switching, routing, access and SmartNICs)\n\n\n\n\nAt Canonical you will have the opportunity to engage with the broader open source community. We're looking for individuals who can help build a thriving community, contribute to a broad range of technologies, and contribute to the deployment of Ubuntu and Ubuntu Core across the widest range of devices.\n\nLocation: we have remote roles open in every time zone.\nWhat your day will look like\n\nBased on the first round of interviews we identify specific teams where you might be an excellent fit, and conduct second round interviews with those teams. Our engineers:\n\n\n* Work with the latest Linux kernel, RTOS, and open source technologies\n\n* Deliver Ubuntu for the latest IoT and server-class hardware platforms\n\n* Integrate and maintain device-oriented software stacks\n\n* Write high-quality, well-designed software\n\n* Collaborate proactively with other globally distributed teams \n\n* Display technical leadership internally and within our external communities \n\n* Help our customers ship their apps and SDKs on Ubuntu\n\n* Build device OS images with Ubuntu Core, Desktop and Server\n\n* Optimise the Ubuntu kernel and libraries for silicon-specific capabilities \n\n* Debug issues and produce high-quality code to fix them \n\n* Contribute to technical documentation to make it the best of its kind \n\n* Discuss ideas and collaborate on finding good solutions \n\n* Participate as technical lead on complex customer engagements involving complete system architectures from cloud to edge \n\n* Work usually from home, with global travel 2 to 4 weeks for company events \n\n\n\nWhat we are looking for in you\n\n\n* An exceptional academic track record from both high school and university\n\n* Drive and a track record of going above-and-beyond expectations\n\n* Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path\n\n* Passion for embedded systems software (e.g. kernel, graphics, Yocto, RTOS) \n\n* Fluency in at least one of Golang, C, C++, or Rust \n\n* Professional written and spoken English \n\n* Experience with Linux (Debian or Ubuntu preferred) \n\n* Excellent interpersonal skills, curiosity, flexibility, and accountability \n\n* Passion, thoughtfulness, and self-motivation \n\n* Excellent communication and presentation skills \n\n* Result-oriented, with a personal drive to meet commitments \n\n* Ability to travel twice a year, for company events up to two weeks each\n\n\n\nAdditional skills that you might also bring\n\n\n* Experience with Debian/Ubuntu or other distro packaging \n\n* Understanding of build systems and toolchains, including for cross-compilation \n\n* Experience with firmware, uboot, UEFI, ACPI, DSDT, or boot loaders\n\n* Experience with power management on PCI ASPM, SATA ALPM, low power profiles \n\n* Computer architecture knowledge of x86, ARM, RISC-V \n\n* Experience in board design, bring up, and validation \n\n* Experience with electrical engineering design tools (e.g. schematic capture, layout) \n\n* Familiarity with Ubuntu development model\n\n* Performance engineering and security experience \n\n* Shell or Python scripting skills \n\n\n\nWhat we offer you\n\nWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.\n\n\n* Distributed work environment with twice-yearly team sprints in person\n\n* Personal learning and development budget of USD 2,000 per year\n\n* Annual compensation review\n\n* Recognition rewards\n\n* Annual holiday leave\n\n* Maternity and paternity leave\n\n* Employee Assistance Programme\n\n* Opportunity to travel to new locations to meet colleagues\n\n* Priority Pass, and travel upgrades for long haul company events\n\n\n\nAbout Canonical\n\nCanonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.\nCanonical is an equal opportunity employer\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.\n\n#LI-remote\n\n \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, Travel, Cloud and Engineer 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\nHouston, Texas, United States

\nAbout Us\n\nWizard is revolutionizing the shopping experience using the power of generative AI and rich messaging technologies to build a personalized shopping assistant for every consumer. We scour the entire internet of products and ratings across brands and retailers to find the best products for every consumer’s personalized needs. Using an effortless text-based interface, Wizard AI is always just a text away. The future of shopping is here. Shop smarter with Wizard.\n\nThe Role\n\nWe seek a talented and dedicated Python Engineer to join our talented AI/ML team. In this role, you will be instrumental in developing and maintaining the core functionality of our applications and services, ensuring the highest quality and performance.\n\nKey Responsibilities:\n\n\n* You will be embedded on the AI/ML team where you can work on the next generation AI Conversational Commerce Platform\n\n* Design and implement scalable solutions for the entire Machine Learning lifecycle, from data preprocessing, data retrieval functions, platform integrations, to model drift monitoring and online learning.  \n\n* Write clean, scalable, and maintainable code, adhering to best practices and coding standards\n\n* Perform code reviews, providing constructive feedback to peers to ensure code quality and consistency\n\n* Troubleshoot, debug, and resolve software defects and issues, identifying root causes and implementing effective solutions\n\n* Participate in the full software development life cycle, from ideation to deployment, including requirements analysis, design, coding, testing, and documentation\n\n* Support and maintain existing applications and services, implementing enhancements and optimizations as needed\n\n* Continuously research and stay up-to-date with the latest industry trends and emerging technologies, sharing knowledge with team members and suggesting ways to improve our products and processes\n\n* Contribute to the creation and maintenance of technical documentation, including API specifications, user guides, and internal documentation\n\n\n\n\nRequirements:\n\n\n* Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience\n\n* 5+ years of experience in software development, with a demonstrable focus on Python programming in a high-availability environment\n\n* Experience working with researchers or scientists in ML, NLP, AI\n\n* Experience developing products with AI frameworks and integrations\n\n* Expertise in Django, FastAPI, Flask, or other Python web frameworks at scale\n\n* Strong understanding of Object-Oriented Programming (OOP) principles and design patterns\n\n* Expertise in GraphQL and RESTful API design and implementation\n\n* Familiarity with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB)\n\n* Familiarity with at least one other common programming language such as TypeScript, JavaScript, Rust, Go, etc\n\n* Version control systems such as Git are second nature\n\n* Strong problem-solving skills and the ability to think critically and creatively\n\n* Experience using application monitoring tools to measure performance and system health\n\n* Excellent communication and collaboration skills, with the ability to work effectively within a team and across departments\n\n* A proactive, self-motivated, and results-driven approach, with a strong desire to learn and grow professionally\n\n* Excited about the future opportunities of building AI-enabled products and services\n\n\n\n\nNice-to-haves:\n\n\n* Experience with front-end development technologies (e.g., HTML, CSS, JavaScript, React, Angular)\n\n* Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)\n\n* Experience with containerization technologies, such as Docker and Kubernetes\n\n* Knowledge of Agile methodologies, such as Scrum and Kanban\n\n* Previous experience in a startup environment\n\n\n\n\nThe expected salary for this role is $185,000-$235,000 depending on skills and experiences. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, GraphQL, Python, Docker, Cloud, Git, API and Engineer jobs that are similar:\n\n $65,000 — $125,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, 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

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

\nOur mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. \n\n\nIn order to achieve this, the cloud infrastructure engineering team is motivated to provide a robust infrastructure layer between the platform and the cloud providers. This software layer is centered around Kubernetes to provide cloud agnostic feasibility and requires deployability on customers’ cloud environments.\n\n\nOur work spans multiple areas including cloud agnostic infrastructure, networking, orchestration, distributed storage, and online/streaming processing. If you enjoy applying computer science fundamentals to real-world challenges and building scalable systems, you will fit right in.\n\n\nIn order to take our government business to the next level we are looking to hire a DevOps Engineer to join our Public Sector team. This DevOps Engineer will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.\nAt Orbital Insight, we work in cross-functional Agile teams, exploring how geospatial data, data science, AI/deep learning, computer vision, and intimacy with user needs can create entirely new products that give novel insights about what we are doing on and to the earth. Our pioneering products help people answer questions that cannot be answered today.\n\n\nWe value experienced engineers who already have a breadth of experience in multiple areas -- databases, devops, machine learning, API design, and more -- and are eager to learn new areas and new technologies.\nIf all this sounds interesting to you, we’d love to meet you.\n\n\nThe position is remote with as needed to travel to customer sites in the Washington DC area. Occasional travel to corporate headquarters in Palo Alto, California.\n\n\nThis position requires active TS/SCI(DOD) clearance\n\n\n\nResponsibilities\n* Lead deployment and maintenance of our flagship product Terrascope, from GovCloud to JWICS You are the primary engineer for these initiatives\n* Ability to lead a cross functional team for a government engagement including facilitating design and implementation, as well as project management, to meet contractual deliverables\n* Design and develop the software layer between the platform and the cloud providers\n* Understanding the requirements for cloud provider agnostic and air-gapped environments\n* Be responsible for the runtime infrastructure under our production system and all developer resources\n* Automate packaging and testing for releases and bootstrapping\n* Attending technology conferences that will help support learning, as well as, bringing ideas from greater community that can further improve our solutions\n\n\n\nMandatory Qualifications\n*  5 Years Minimum Experience as DevOps Engineer\n*  3 years experience with Kubernetes to deploy, scale and manage containers with configuration using Helm charts\n* Comfortable at command line and working within Linux operating system (preferably RHEL)\n* Experience working with Docker or other Container technologies\n* Experience working with cloud providers such as AWS, GCP, or Azure . Configuring networking (DNS, routing, load balancing)  will be a good example\n* Command of a scripting language such as Python or Bash, as well as Git\n* Proficiency and experience with infrastructure as code (IaC) tools, such as Terraform\n\n\n\nPreferred Qualifications\n* Experience with JWICS integration (PKI, NPE Certs)\n* Experience with air-gapped system / on-premise deployment\n* Experience with databases and message queues\n* Experience with Cloud/Kubernetes security \n* Computer science, electrical engineering degree or related experience\n\n\n\n\n$140,000 - $210,000 a yearSalary range includes annual base salary only\n\nAt Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth.  Orbital Insight is an Equal Employment Opportunity and 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. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight. \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, Docker, Testing, DevOps, Cloud, API, Engineer and Linux 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\nArlington, VA

\nBuild and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year. \n \nMinimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.\n \nPlease email resume to: [email protected]. Please specify ad code HDLL\n\n\n\n\n$139,464 - $191,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, Senior and Engineer jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDallas, Texas

Who You Are\n\nPhaidra is looking for a driven Senior Software Engineer to be a part of our Infrastructure team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will work directly with our Infrastructure lead to build and maintain world class infrastructure. You will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nWe are seeking a team member located within one of the following areas: USA\nResponsibilities\n\nThe ideal candidate has expertise building self service Internal Developer Platforms for deploying and managing cloud infrastructure on AWS/GCP/Azure and ideally Kubernetes Operators. Your responsibilities will touch on building Developer Portals, Developer Experience & Tooling Infrastructure Engineering and DevOps. Your work will empower developers to be self sufficient in infrastructure related operations.\n\n\n* You will build an internal developer portal and tooling for abstracting infrastructure with a self service approach.\n\n* You will work closely with developers to identify infrastructure pain points and build the platform accordingly\n\n* You will help build and manage infrastructure for:\n\n\n* Large-scale data ingestion and processing.\n\n* Distributed model training, evaluation and inference.\n\n* Automating the end-to-end system for continuous improvement and deployment.\n\n\n\n\n\n* You will work with cloud services like AWS, Azure, GCP.\n\n* You will work with Cloud Native technologies like Kubernetes.\n\n* You will help build CI/CD pipelines and take part in DevOps duties.\n\n* You will write and maintain tooling and documentation for infrastructure, supported applications and processes.\n\n* You will apply SRE principles for observability, automation and change management.\n\n* Build and maintain cross-functional relationships with internal teams to drive initiatives.\n\n\n\nKey Qualifications\n\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Proven software engineering experience, ideally with Python or Go.\n\n* Experience with Internal Developer Platform products such as Backstage, Port or Upbound.\n\n* Experience working with developers with a focus on infrastructure automation.\n\n* Proven experience automating Cloud on AWS, GCP or Azure.\n\n* Experience developing Kubernetes Operators and general Kubernetes related automation.\n\n* Good understanding of Linux-based Operating Systems, Containerisation and Orchestration technologies like Docker and Kubernetes.\n\n* Good understanding of DevOps and SRE principles.\n\n* Experience with Terraform or other configuration management tools like Jsonnet, Kapitan, Helm or Kustomize.\n\n* Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.\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\nPreferred Skills & Experience\n\n\n* Experience with Software Engineering.\n\n* Experience developing Internal Developer Platforms and tooling.\n\n* Expertise with multi and hybrid cloud environments.\n\n* Expertise with some parts of our tech stack is a big plus.\n\n* Experience in automating scalable multi-tenant systems architectures with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\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 and infrastructure 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\n\n\nBy your first 60 days...\n\n\n* You will have a solid understanding of what Phaidra does and how we do it.\n\n* You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will have completed the onboarding exercise and will be on your way to completing your first production task.\n\n\n\n\nBy your first 90 days...\n\n\n* You will have been fully integrated in the team and with team members across the company.\n\n* You will get a more in-depth understanding of our system architecture and infrastructure.\n\n* You will have completed your first on-call experience helping monitor and improve our production environments.\n\n* You will have become an expert with our tooling.\n\n* You will have started to contribute to knowledge sharing throughout Phaidra.\n\n\n\nBase Salary\n\n\n* US Residents: $150,000-$210,000\n\n\n\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 Python, Docker, DevOps, Cloud, Senior 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\nSeattle, Washington, United States