Senior Forward Deployed Engineer

Location: London

Employment Type: Full time

Location Type: Remote

Department: Revenue

Compensation: United Kingdom £97K – £131K • Offers Equity • Offers Bonus

This position is leveled as P4. Please feel free to ask any questions about compensation and levels during your initial interview.

What you’ll do here:

• Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows.
• Own onboarding engagements end-to-end, ensuring customers move from contract to productive adoption with speed and confidence.
• Lead engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth.
• Help customers implement the technical and organizational changes required to adopt agentic development practices at scale.
• Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments.
• Design and recommend reference architectures tailored to each customer’s cloud environment, security posture, and organizational constraints.
• Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns.
• Anticipate technical and operational risks, escalation to the right internal stakeholders, and track issues through to resolution.
• Contribute to technical documentation, architecture guides, how-to resources, and statements of work that extend your impact across the customer base.
• Capture structured product feedback from customer deployments and advocate directly with engineering and product teams for roadmap and usability improvements.

What we’re looking for:

• 5+ years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post-sales technical role, with a demonstrated track record of guiding enterprise customers through complex technical deployments.
• Proven hands-on experience from a prior role designing and deploying cloud infrastructure on at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have done the work and can speak to it with specificity.
• 2+ years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle.
• 2+ years of experience with Terraform or equivalent infrastructure-as-code tooling; you understand how enterprise teams structure, version, and maintain IaC at scale.
• Solid understanding of Linux systems administration, including networking fundamentals: ingress controllers, proxies, load balancers, and DNS resolution in cloud-native environments.
• Familiarity with CI/CD pipeline design and DevOps practices; you understand how code moves from commit to running workload in an enterprise context.
• Working knowledge of cloud security and identity: IAM patterns, network segmentation, secrets management, and compliance-relevant controls.
• Understanding of observability practices including logging, metrics, and tracing across distributed systems.
• Experience with AI tooling at both the user level (coding agents, assistants) and infrastructure level (model proxies, LLM routing layers such as LiteLLM).
• Demonstrated ability to design repeatable delivery patterns, not just solve one-off problems.
• Comfort working through organizational and workflow change alongside technical change with customers.
• Strong verbal and written communication skills: you can hold a room with a senior infrastructure team and produce a clear architecture document without those being separate skills.
• High customer empathy: you understand that the best technical solution does not always fit a customer’s constraints, timeline, or organizational reality.
• Self-directed, analytically minded, and comfortable operating with full autonomy in a startup environment.

Bonus tacos if you have:

• Experience at both early-stage startups and larger software organizations.
• Background as a Software Engineer, DevOps Engineer, or Platform Engineer before moving into a customer-facing role.
• Familiarity with regulated environments: air-gapped deployments, network isolation, SOC 2, ISO 27001, GDPR, or DORA requirements.
• Experience with disaster recovery design and multi-region availability patterns.
• Cloud cost optimization experience, including rightsizing, reserved capacity, and FinOps practices.
• Experience with Tailscale or similar overlay networking tools.
• Kubernetes certification (CKA, CKAD, or CKS).
• Open-source contributions.
• Experience with Backstage.io or similar internal developer portals and platform tooling.
• Prior work on or alongside a developer platform or platform engineering team.
• Experience introducing new operating models or delivery patterns across post-sales or go-to-market teams.

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.

Compensation Range: £97K - £131K