\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

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