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

\nSmartcar is on a mission to make it easy for everyone to use the apps and services they love with their car. We build developer-friendly APIs, making it easy for businesses to integrate their products with vehicles of any brand using a single integration.\n\n\nFounded in 2015, Smartcar has raised $36M from Andreessen Horowitz, New Enterprise Associates, and Energize Capital. We are the leading developer platform for mobility businesses across North America and Europe, serving amazing customers, including brands like Uber, Turo, and more.\n\n\nInnovative mobility businesses use our API platform to verify mileage, issue digital car keys, manage EV charging schedules, monitor fleets, and much more.\n\n\nAs Smartcar’s first Senior Security Engineer, you will spearhead the reverse engineering and analysis of mobile applications for the engineering team. Working closely with top stakeholders, this role will be pivotal in furthering Smartcar’s developments in reverse engineering by supporting tooling, documentation, and more.\n\n\nThis role is remote within the United States. We'd love for you to join us!\n\n\n\nKey Responsibilities\n* Create and maintain Frida scripts and other related tools for reverse engineering Android and iOS applications (native and non-native frameworks).\n* Create and maintain documentation and instructions for reverse engineering processes.\n* Analyze network traffic patterns from the mobile/web applications using tools like Charles Proxy, MITM, Burp Suite, Chrome Dev Tools and Wireshark.\n* Coach and mentor new and existing engineers.\n\n\n\nWho You Are\n* 5-8 years of experience with security analysis of Android and iOS applications.\n* You have a deep understanding of TLS.\n* Experienced with using Frida on Android.\n* Strong documentation, writing, and communication skills.\n* Bachelor of Computer Science degree or equivalent experience.\n\n\n\nBonus\n* Experienced with IDA, Radare, and/or Ghidra.\n* Familiarity with protocols such as WebSockets, MQTT, etc.\n* Experience with programming languages like Python, JavaScript, Java etc.\n\n\n\nManager\n* Ashwin Kumar, Senior Director of Engineering\n\n\n\nYour Team\n* Robert Simari\n* Mike Herz\n* Bharath Gunasekaran\n* Naomi Perez\n* Nathan Bryant\n* Mantej Dheri\n* Josh Bowers\n* Haig Hovsepian\n* Aytekin Ozdemir\n* Adrian Garcia\n* Minh Nguyen\n\n\n\nCompensation and Benefits Package\n* Base salary determined by years of experience: $150,000 - $180,000.\n* Equity.\n* Remote work within the United States.\n* Health, Dental and Vision covered at 90% for all plans and 80% coverage for dependents, which amounts to approximately 11 thousand dollars a year.\n* 401K matching at 4%.\n* Unlimited PTO.\n* Wellness stipend of $50 a month.\n* Cell phone and Internet stipend of $50 a month.\n* $300 yearly learning and development stipend.\n* $350 work-from-home stipend.\n* 8 weeks of 100% paid parental leave with an additional 4 weeks unpaid, 1-week half day ramp back time and a 5 week Factor subscription.\n* 10 days of paid bereavement leave.\n\n\n\n\nSponsorship\n* We do not currently support any new sponsorship opportunities or sponsorship transfers for this role.\n\n\n\nRecruiter For This Role\n* Jackie Leary\n\n\n\nInterview Steps\n* Intro Call: 30 minute phone call with Jackie Leary to learn about your background and determine whether your skill set matches the role.\n\n\n\n* Hiring Manager Video Call: 45 min phone call with Ashwin Kumar to learn more about your background and for you to ask as many questions as you would like about the role. \n\n\n\n* Take-Home Assignment: You will have 3 days to work on a take-home assignment based on a fictitious situation.\n\n\n\n* Take-Home Assignment Review: Once your challenge is complete you will have a 45 min video call with Ashwin Kumar to present your take-home assignment.\n\n\n\n* Final Stage: This is a 4-part video interview where you will have a demo with a member of the engineering team, a team meeting with two members of your team, a behavioral interview with Mathilde Patmon and a tech defense interview with Ashwin Kumar and Sanketh Katta.\n\n\n\n\n\nSmartcar is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n\nIf you have a disability or special need that requires accommodation, please do not hesitate to reach out, in confidence, to [email protected] with how we can help make your interview process as comfortable as possible and how we can provide reasonable accommodations. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Java, API, Mobile, Senior and Engineer jobs that are similar:\n\n $52,500 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

Docker is a remote first company with employees across Europe, APAC and the Americas that simplifies the lives of developers who are making world-changing apps.  We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year.  Join us for a whale of a ride!The Billing team ensures painless purchasing, reliable billing, proper user entitling, and robust payment reporting within Docker's products. As a Backend Engineer, you will propose, prototype, and eventually publish tools and features to solve problems, such as:* How can we rapidly roll out billing and subscriptions for new products and services?\n* How can we build a robust billing backend that will enhance the payment process?\n* What can we do to streamline internal and external business operations?\n\nYou will collaborate with product managers, designers, and engineers to design user journeys and API specifications, using tools like Slack, Zoom, Miro, and Notion. You will also work across departments on this team, interfacing with Business Operations, Data, Finance, Marketing, and Support more than our average team. You will be constantly seeking ways to improve development practices to ensure we maintain a high level of quality with a fast pace of delivery. You will help foster an optimistic and uplifting environment with collaboration and innovation. Finally, you should be passionate about how developers' lives could be made easier, and about Docker's role in that.Responsibilities:* Build and improve on a billing system managing tens of thousands of subscriptions, and processing thousands of daily transactions\n* Lead and contribute to new features that enhance our users’ billing and payments experience in Docker Hub and other new Docker products\n* Write project proposals, document standard operating procedures, and evaluate 3rd party tools\n* Write, review, maintain, and document Golang code, including unit, integration, and e2e tests\n* Mentor, coach, and pair with team members on software engineering best practices\n* Work within a cross-functional delivery team of 5+ software engineers, with an embedded product manager and designer\n* Deploy code to production, and own the product throughout the lifecycle\n* Demonstrate cross-team collaboration and own the team’s engineering needs\n* Respond to daytime internal billing support requests, on rotation (avg. 12/week), from throughout the company\n* Participate in paid 12-hour daytime on-call shifts for one week every 2-6 months\n\nQualifications:* Experience in senior and leadership roles, capable of taking initiative, supporting more junior engineers, and leading by example with an optimistic outlook\n* Experience and interest in user checkout experiences, payment processing, invoicing, recurring subscriptions, and/or business operations\n* Experience with payment and billing platforms (Stripe preferred)\n* Experience with debugging and related tools, test automation, troubleshooting, and understanding code of myriad authors\n* 5+ years experience building SaaS applications\n* 3+ years with a C-based backend language, preferably Golang\n* Experience with* SQL (Postgres preferred)\n* Cloud platforms (AWS preferred, or GCP, Azure)\n* IaC (Terraform preferred)\n* Containers (Docker, Kubernetes)\n* CI/CD systems (Jenkins, GitHub Actions)\n* Snowflake (nice-to-have)\n* Python, data ingestion (ETL), and data pipelines (nice-to-have)\n* Salesforce and APEX (nice-to-have)\n\n\n* Knowledge of security and compliance best practices (PCI, SOC2, SOX)\n* Strong verbal and written English skills with a record of documenting SOPs and project proposals\n* Ability and interest in working at a fully remote company crossing international time zones\n* Past demonstrations of proactively working outside of this job description\n\nWhat to expect in your first 30 days:Being a fully remote workplace, Docker has a focus on keeping teams connected. To that end, your first two weeks will include a calendar with many 1:1 sessions intended to introduce you to your team and others with whom you will interact frequently. Expect to spend time on other onboarding activities like IT setup, navigating productivity tools, and getting familiar with your regular calendar cadence.As part of your hands-on onboarding, you’ll have completed your first tasks contributing to the code base, getting familiar with the team’s Agile/Scrum processes and software development life cycle.By the end of the month, you should be familiar with Docker’s values and goals, our leadership, your team, your tools, and where to go for information - everything you need to build an understanding of Docker Hub, Billing systems and infrastructure, and making your own impact to our systems.What to expect in your first 90 days:In your first three months you’ll have developed a good relationship with your team and have become familiar with its routines. You will be comfortable sharing ideas and opinions formed from your depth of experience in daily standups, weekly planning, and ad-hoc engineering discussions.Expect to be familiar with the team’s roadmap and working directly with our project manager, planning ahead (e.g. through written proposals) and breaking down work on which the team will execute. Throughout bi-weekly sprints you’ll be making regular contributions to our Golang codebase and REST APIs, interacting with a PostgreSQL database and third party APIs like Stripe.You’ll have become familiar with Docker Hub systems and infrastructure with a focus on backend services, frontend components, and external integrations owned by the Billing team. You will be gaining comfort completing Jira tickets and pull requests (as both committer and reviewer) on Github and deploying to production using GitHub Actions as our CI/CD system.What to expect in your first year:Within your first year you’ll have made significant contributions to team velocity through your work as an individual contributor, but also by creating impact through the skill and wisdom you impart on the team through mentorship, insight, and off-the-Jira-board contributions (architecture & design, process improvements, etc.)You’ll have played a substantial role in the planning and execution of new tooling and internal system updates to facilitate pricing and packaging agility, usage-based billing, and billing support for new products contributing directly to Docker’s bottom line and long term ARR goals.Working through Slack, Zoom, Notion, and Jira, you’ll have established strong relationships with our stakeholders in Business Operations, Accounting, Finance, and Support, comfortable handling and prioritizing ad-hoc requests and discussing your team’s involvement.In collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year.Perks:* Freedom & flexibility; fit your work around your life\n* Home office setup; we want you comfortable while you work\n* 16 weeks of paid Parental leave\n* Technology stipend equivalent to $100 net/month\n* PTO plan that encourages you to take time to do the things you enjoy\n* Quarterly, company-wide hackathons\n* Training stipend for conferences, courses and classes\n* Equity; we are a growing start-up and want all employees to have a share in the success of the company\n* Docker Swag\n* Medical benefits, retirement and holidays vary by country\n\nDocker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.Due to the remote nature of this role, we are unable to provide visa sponsorship.#LI-REMOTE \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, Design, SaaS, API, Senior, Golang, Engineer and Backend jobs that are similar:\n\n $52,500 — $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