Senior Forward Deployed Engineer
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Job Description
Senior Forward Deployed Engineer in a customer-focused role at Coder. Leading technical authority for deployments and guiding organizational change for innovative AI development workflows.
Responsibilities:
- 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
Requirements:
- 5+ years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post-sales technical role
- 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.
Benefits:
- Offers Equity
- Offers Bonus
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