At a Glance
- Tasks: Lead architectural decisions and enhance our cutting-edge developer platform.
- Company: Join Coder, an innovative AI software development company.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on innovation and collaboration.
- Why this job: Make a real impact in the future of autonomous coding.
- Qualifications: 7+ years in infrastructure engineering with leadership experience.
The predicted salary is between 80000 - 100000 £ per year.
As the Platform Engineering Lead at Coder, you will lead architectural and technical decisions related to platform engineering and internal DevOps. You unblock, uplift, and focus on the problems that matter - delivering a cutting-edge developer platform loved by customers. You will be the founding member of a new team dedicated to platform engineering and internal DevOps. We are looking for a lead who will get hands-on and contribute while also helping to set standards and upgrade existing infrastructure. Coder’s main software platform is a self-hosted deployable, in which Coder provides reference architecture, Helm charts, Terraform providers, and more. You will be directly responsible for helping to mature these artifacts. Coder also has a number of lightweight external infrastructure and internal development infrastructure which you will help to maintain, guide, and expand. Until now, Software Engineers have been maintaining and handling all internal DevOps work.
What you’ll do here:
- Drive architecture decisions related to infrastructure and deployments
- Support internal infrastructure for engineering
- Translate product vision into clear technical roadmaps; drive execution end-to-end
- Train and uplift engineering and field teams on infrastructure-related work
- Hold a high bar for code quality, security, and performance; instill best practices
What we’re looking for:
- 7+ years in infrastructure and platform engineering, with at least 3 years leading teams
- Proven record of shipping software to large enterprise customers
- Experience contributing to or leading open source projects
- Deep technical foundation in Linux, Kubernetes & containers, at least one major public cloud (e.g. AWS, GCP, or Azure), IP networking & HTTP fundamentals, Infrastructure as Code
Our tech stack:
- Backend: Go, Postgres, GCP, Kubernetes, gRPC
- Frontend: Typescript, React, Vite
- IDE Extensions: Typescript, Kotlin
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
Bonus tacos if you have:
- Significant professional experience with our tech stack
- Prior work on developer tooling
- Public open source contributions
- You still carve out time to code, either at work or on passion projects
About Coder:
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self-hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview process:
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process:
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalised for using AI as long as it is done honestly.
Our use of AI in hiring:
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritise which applications to review first. Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labour laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on 'Automated Employment Decision Tools'; results are available for Ashby. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
Coder is a proud Equal Opportunity Employer. We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, colour, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Platform Engineering Lead in London employer: Coder
At Coder, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and grow. As a Platform Engineering Lead, you will not only have the opportunity to shape the future of our cutting-edge developer platform but also benefit from a collaborative environment that encourages continuous learning and professional development. With a commitment to work-life balance and a transparent hiring process, Coder is an excellent employer for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to platform engineering and DevOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to platform engineering. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Coder.
We think you need these skills to ace Platform Engineering Lead in London
Some tips for your application 🫡
Show Your Passion for Platform Engineering:When writing your application, let your enthusiasm for platform engineering shine through! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about the tech stack and the challenges we face.
Tailor Your Application:Make sure to customise your application to highlight your experience with our tech stack and the skills mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t be shy about showcasing your relevant achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your experience effectively. A well-structured application makes it easier for us to see why you’d be a great fit for the team.
Apply Through Our Website:We encourage you to submit your application directly through our website. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Coder
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Go, Kubernetes, and Terraform, as well as any other tools like Prometheus and Grafana. Being able to discuss your hands-on experience with these technologies will show that you're not just a leader but also someone who can get into the nitty-gritty.
✨Showcase Your Leadership Experience
Prepare specific examples of how you've led teams in the past, especially in platform engineering or DevOps. Highlight situations where you’ve made architectural decisions or uplifted team performance. This will demonstrate your capability to lead the new team at Coder effectively.
✨Understand the Company’s Mission
Familiarise yourself with Coder's mission and how they integrate AI into software development. Be ready to discuss how your vision aligns with theirs and how you can contribute to making agentic AI a trusted part of the development lifecycle.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of infrastructure as code. Practice explaining complex concepts clearly and concisely, as this will be crucial when translating product vision into technical roadmaps.
