Senior Forward Deployed Engineer (London)

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, escalate 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

• (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
• 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