We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands-on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers.
This is not an execution-only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work.
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
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.
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.
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 penalized for using AI as long as it is done honestly.
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 prioritize which applications to review first.
Granola takes notes during our interview calls
Coder
https://coder.com