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Coder

Software development on your infrastructure. Offload your team's development from local workstations to cloud servers.

Senior Forward Deployed Engineer

Location

California

Posted

4 days ago

Salary

$150K - $211K / year

Seniority

Senior

Job Description

Senior Forward Deployed Engineer

Coder

• 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 Get Well 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

Job Requirements

  • 5 or more 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 experience deploying or operating AI coding agents in a production or near-production environment: you understand how agent loops execute, where credentials live, and what governance and audit requirements look like in an enterprise context
  • Ability to articulate the architectural difference between workspace-local agent tooling and a centralized agentic harness, and to explain why that distinction matters to a security or compliance stakeholder
  • 2 or more years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle
  • 2 or more 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
  • 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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