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

\nAt Render we are building a powerful, easy-to-use cloud platform to host anything online: from simple static sites to complex applications with dozens of microservices. Render offers the flexibility of traditional cloud providers without their complexity and maintenance headaches so developers and businesses can focus on building products instead of managing servers.\n\nWe're a talented and diverse group solving a problem faced by every development team. We iterate quickly while placing the utmost importance on user experience, quality, and reliability. We push ourselves to do better every day. With tens of thousands of customers and rapidly increasing revenue, we're on to something big.\nApplying to Render\n\nRender is scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company.\n\nWe're looking for candidates with high integrity, low ego, and an insatiable drive to learn. We use reasoned discussion and constant feedback to improve as individuals and as a company. We cultivate mutual trust and respect, empowering us to debate ideas effectively and create the best outcomes for our customers and our team.\n\nWe especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.\n\nOur interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.\nAbout the Role\n\nWe are looking for an experienced backend software engineer with a specialization in Database-as-a-Service, building solutions that use open source databases to store and retrieve data. We are particularly interested in experience with running distributed self-serve systems on Kubernetes or supporting many different types of databases.\n\nRender's Datastores team is building easy-to-start and easy-to-scale structured data storage products for our customers: product engineers. Our customers want to minimize their time managing their databases and focus on adding value to their products and businesses. We build powerful, flexible tools that scale with our customers needs with little effort from them. Render's Datastore products provide our customers optimization insights and advanced workflows when it becomes appropriate for them, without having to hire a DBA or operations team.\n\nWe give our users peace of mind and confidence that their data is in a reliable and secure product. Whether the user is creating their first PostgreSQL instance or has worked with databases for years, our interfaces will be intuitive and easy to use.\n\nBy joining us at an early stage, you will design and build the cloud infrastructure databases you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe.\nYou will:\n\n\n* Build new features of our managed database offerings to delight our customers (currently, we offer PostgreSQL and Redis).\n\n* Collaborate with other engineers on high-impact projects like high availability failover, point in time recovery, zero downtime upgrades, and automated performance tuning.\n\n* Improve the metrics and insights available to our users so they understand their performance, optimize their usage, and control when we run maintenance on their database.\n\n* Develop Kubernetes operators that automate databases on our platform.\n\n* Improve the performance and reliability of our managed database offerings.\n\n* Debug issues at all levels in our infrastructure stack.\n\n* Improve the performance and reliability of databases through increased observability, load testing, and chaos engineering.\n\n* Participate in our on-call rotation, with the rest of the engineering team.\n\n\n\nWe’re looking for:\n\n\n* 6+ years full-time experience developing, maintaining, and debugging production systems at scale.\n\n* Experience building, operating and scaling workloads on Kubernetes clusters.\n\n* Deep experience in databases, including but not limited to PostgreSQL, MySQL, Redis, MongoDB, or CockroachDB.\n\n* Experience deploying, operating, and managing production-level PostgreSQL or other database systems at scale (in "as-a-service" environment).\n\n* Experience building and scaling cloud infrastructure.\n\n\n\nNice-to-haves:\n\n\n* Experience with Go or a similar language.\n\n* Familiarity with observability tools like Datadog, Grafana, or SignalFx.\n\n* Experience with infrastructure-as-code tools like Terraform, Pulumi, and Ansible.\n\n* Security hardening skills, especially in the context of untrusted workloads.\n\n\n\nBenefits\n\n\n* Our openings span more than one career level. The starting salary for this role is between $150,000 and $220,000 USD. The provided salary depends on many factors, such as work experience and transferable skills, business needs and impact, and market demands.\n\n* The opportunity is also eligible for equity with early exercise options and extended exercise windows.\n\n* 4 weeks of paid vacation, available from day one.\n\n* 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.\n\n* Long-term disability, life insurance, and 401K plans.\n\n* 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs available as well.\n\n* Monthly lifestyle stipend for wellness, mental heath and therapy, hobbies, etc. \n\n* Monthly cell phone and internet subsidy.\n\n* Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.\n\n* Continuous learning benefits & related support.\n\n\n\n\n \n\nRender is an equal-opportunity employer. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product, and our community to flourish. We make all employment decisions, including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.\n\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\n\nWe encourage all who are interested to apply. We can't wait to hear from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Engineer and Backend jobs that are similar:\n\n $70,000 — $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\nSan Francisco, California, United States

\n📍London / UK Remote | 💰 £75,000 - £100,000 + Benefits | Technology - Engineering |  Hear from the team ✨\n\nAbout us: \n\nWe’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.\n\nWe want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.\n\nWe're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.\n\nAbout our Engineering Team:\n\nWe have around 300 engineers out of roughly 2,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication.\n\nWe contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!\n\nWhat you’ll be using: \n\nWe rely heavily on the following tools and technologies:\n\n\nGo to write our application code (there’s an excellent interactive Go tutorial here)\n\nCassandra for most persistent data storage\n\nKafka for our asynchronous message queue\n\nEnvoy Proxy for RPC\n\nKubernetes and Docker to schedule and run our services \n\nAWS for most of our infrastructure\n\nReact for internal web dashboards\n\nWe also have two physical datacenter sites with actual cables to connect to various third parties\n\n\n\n\nYour day-to-day   \n\nThis role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As a product backend engineer you’ll work in a squad alongside product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! \n\nTogether you’ll build and support a particular part of Monzo. Our product squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Money, Borrowing, Fincrime, Customer Operations, Platform, Personal Banking & Business Banking. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! \n\nOur backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.\n\nYou should apply if:\n\n\nyou have strong experience working on the backend of a technology product\n\nyou want to be involved in building a product that you (and the people you know) use every day\n\nyou have a product mindset: you care about customer outcomes and you want to make data-informed decisions\n\nyou’re comfortable working in a team that deals with ambiguity\n\nyou’re interested in distributed systems and writing resilient software\n\nyou have some experience with strongly-typed languages (Go, Java, C, Scala etc.).\n\nyou think you’d enjoy the kind of work we’re doing\n\n\n\n\nWe're on the look out for L40, 50 & 60 Engineers at the moment, you can read more in our Engineering Progression Framework \n\nThe Interview Process:\n\nOur interview process involves three main stages: \n\nInitial Call \n\nTake home task or pair coding exercise \n\nFinal interview including a system design and a behavioural interview \n\n\n\nOur average process takes around 2-3 weeks but we will always work around your availability. \n\nYou will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on [email protected] \n\nOne of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.\n\nWhat’s in it for you:\n\n💰 £75,000 - £100,000 base salary➕ plus stock options \n\n✈️We can help you relocate to the UK \n\n✅We can sponsor visas.\n\n📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).\n\n⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.\n\n📚Learning budget of £1,000 a year for books, training courses and conferences\n\n➕And much more, see our full list of benefits here \n\nWe're usually always hiring for Backend Engineers, so there's no closing date for this job.\n\nEqual Opportunity Statement\n\nWe are actively creating an equitable environment for every Monzonaut to thrive.\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2022 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.\n\nWe're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.\n\n#LI-Remote\n\n#LI-HJ1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Scala, Mobile, Engineer and Backend jobs that are similar:\n\n $55,000 — $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\nLondon, England, United Kingdom

\n📍Anywhere, UK | 💰 £80,000 - £140,000 base salary per year ➕ plus stock options + Benefits \nAbout us\n\nWe’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.\n\nWe want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.\n\nWe're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.\nAbout our mobile engineering practice\n\nOur mobile engineers have a variety of different backgrounds\n\nThere are 25 iOS engineers at Monzo and we’re looking for one more to join the team. We have several non-graduates; only some of us studied Computer Science; some of us have worked in huge companies; some have only ever worked in startups; others are former consultants. As long as you enjoy learning new things, we’d love to talk to you.\n\nWe are actively creating an equitable environment for all of our engineers to thrive\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. We provide a sponsorship framework in Engineering for women and people of colour; all of our leaders are trained on privilege awareness and we are creating partnerships with organisations dedicated to supporting underrepresented groups.\n\nWe encourage an open and transparent working environment\n\nYou can get involved in any aspect of the business you are interested in and, following Stripe’s example, all emails in the company are visible in an email archive. We default to transparency and prefer to communicate openly in Slack rather than by email or in DMs. Our blog is an excellent place to learn even more about what we do!\n\nMonzo works in project-based sprints in small, interdisciplinary teams\n\nWe have 200+ engineers out of roughly 2,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication.\nYour day-to-day\n\nWe’re searching for a product-aware Senior iOS engineers with a passion for great UI and UX to join our team. You understand the need for tested, resilient code balanced against the need to move fast and iterate.\n\nYou’ll be working on a product that is a part of day to day life for more than 6 million people already, and your work here will shape the way that people interact with their finances.\n\nThis role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As an iOS engineer at Monzo you'll work in a small, autonomous product squad alongside Android Engineers, Backend Engineers, User Researchers, Product Designers, Product Managers, QA Testers, Data Scientists and Business Analysts.\n\nYour mission will depend on the squad, but currently mobile engineers are working on the core personal banking experience, paid products, lending products, business banking and internal operations. We also have a small squad dedicated to enabling other mobile engineers to move faster.\n\nYou and your team will be responsible for an overall company goal, rather than building a specific feature - you'll have the opportunity to have impact on both what we build, and how we build it.\n\nEvery week we meet as a discipline to discuss tools, techniques, problems we're encountering across the company and work together to improve our codebase and processes.\n\nYou'll report to an engineering manager who will meet with you every 2 weeks 1:1, their mission is to help you develop and grow as an engineer.\nOur iOS app\n\nAt Monzo, you'll get to work with industry standard tools and technologies - and help us define what great looks like for iOS engineers.\n\nOur app is 100% Swift, built using a Model, View, View-Model architecture (MVVM). We use Coordinators to ensure we can re-use screens wherever possible, and avoid tightly coupling one screen to another. We make heavy use of protocols and extensions throughout our app.\n\nOur networking stack is built upon Alamofire, using a generic interface to easily de-serialise objects of a certain type, and we mirror our backend micro-service architecture by building individual services to house our API logic.\n\nWe persist objects using Realm when we need to.\n\nOur testing stack comprises of unit tests for business logic, stubbed API tests for pseudo-integration tests, snapshot tests for UI, and XCUITest for testing user input and sequencing.\n\nWe've published some talks and blog posts about how we work:\n\n\nWorking with backend services on iOS\n\nPushing Protocols to their Limits\n\nThe Release Mindset (how we release our apps)\n\n\n\nYou should apply if\n\nOur open roles are for Senior iOS Engineers at present.\n\n\nYou'll care about the impact your work has on our customers, and optimise for impact rather than the number of lines of code you output\n\nYou are excited about and have experience in programming in Swift\n\nYou’ve shipped and iterated on at least one app in the App Store\n\nYou have a product mindset: you care about customer outcomes and you want to make data-informed decisions\n\nYou love turning excellent design into beautiful products\n\nYou’re comfortable working in a team that deals with ambiguity\n\nYou have an understanding of the principles of computer science\n\n\n\nThe interview process\n\nOur interview process consists of a 45 min initial call video interview, a take-home code test followed by a 45 min video call with an engineer to discuss it, and 2 hours of final interviews conducted via video call as well. The final rounds consists:\n\n1h iOS technical\n\nYou'll meet 2 other iOS engineers. Together we'll go over some technical challenges we've faced as a company. We'll ask you to come up with designs to solve these problems, and we'll ask you questions about your experience using Swift in production.\n\n1h Behavioural\n\nYou'll meet 2 Monzonauts to chat about some of the non-technical parts of being a product engineer at Monzo. These include your experience in delivery, team work, coaching/mentoring and persuasion.\n\nAt each stage you'll have an opportunity to ask us questions about what life is like at Monzo. \n\nWe promise not to ask you any brain teasers or trick questions. We might design a solution together on a whiteboard, the same way we often work together, but we won’t make you write code on one.\n\n\nOur average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [email protected] \n\nOne of our Hiring Managers has written a detailed blog on our process, for extra details, hints and tips please see this blog post.\nWhat's in it for you\n\n💰 £80,000 - £140,000 base salary per year ➕ plus stock options & benefits, we also provide all of our engineers with the latest MacBook Pro (M1 Pro).\n\n✈️ We can help you relocate to the UK \n\n✅ We can sponsor visas but please note we aren't able to support remote working outside of the UK at the moment\n\n📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)\n\n⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team\n\n📚 Learning budget of £1,000 a year for books, training courses and conferences\n\n➕ And much more, see our full list of benefits here\n\nIf you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.\nEqual Opportunity Statement\n\nWe are actively creating an equitable environment for every Monzonaut to thrive.\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog,  2022 Diversity and Inclusion Report and 2021 Gender Pay Gap Report.\n\nWe’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.\n\n\n#LI-Remote\n\n#LI-HJ1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Swift, Testing, Video, API, Mobile, Senior, Android, Engineer and Backend jobs that are similar:\n\n $50,000 — $102,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLondon, England, United Kingdom