Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Act as the primary technical expert for post-sales clients, providing guidance on deployment architecture, environment design, and the integration of Coder into both human and AI development workflows.

• Manage onboarding processes from start to finish, ensuring that customers transition from contract signing to productive use with efficiency and assurance.

• Lead recovery engagements where architectural choices, implementation strategies, or organizational issues are hindering customer health or growth.

• Assist customers in implementing the necessary technical and organizational changes to adopt agentic development practices on a large scale.

• Create and document scalable delivery patterns for onboarding, architecture, and adoption that can be applied across various customer segments.

• Develop and recommend reference architectures customized to each customer's cloud setup, security requirements, and organizational limitations.

• Simplify complex customer environments into clear directives regarding networking, ingress, identity, and infrastructure practices.

• Proactively identify technical and operational risks, communicate them to the appropriate internal stakeholders, and monitor issues until resolution.

• Contribute to technical documentation, architecture guides, how-to resources, and statements of work that enhance your impact across the customer base.

• Gather structured product feedback from customer implementations and advocate directly with engineering and product teams for improvements in roadmap and usability.

⛳️ Requirements

• A minimum of 5 years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or similar post-sales technical role, with a proven history of assisting enterprise clients through intricate technical deployments.

• Hands-on experience from a previous position designing and implementing cloud infrastructure with at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have practical knowledge and can discuss it in detail.

• Over 2 years of experience deploying or managing AI coding agents in a production or near-production setting: you comprehend how agent loops function, where credentials are stored, and what governance and auditing requirements entail in an enterprise context.

• Ability to convey the architectural differences between workspace-local agent tools and a centralized agentic harness, and explain the significance of that distinction to security or compliance stakeholders.

• At least 2 years of production experience with Kubernetes, including cluster design, workload scheduling, networking, storage, and operational lifecycle management.

• A minimum of 2 years of experience with Terraform or equivalent infrastructure-as-code tools; you understand how enterprise teams structure, version, and maintain IaC at scale.

• Strong understanding of Linux systems administration, including networking fundamentals such as ingress controllers, proxies, load balancers, and DNS resolution in cloud-native environments.

• Familiarity with CI/CD pipeline design and DevOps methodologies; you comprehend how code transitions from commit to operational workload in an enterprise context.

• Working knowledge of cloud security and identity management: IAM patterns, network segmentation, secrets management, and compliance-related controls.

• Understanding of observability practices, including logging, metrics, and tracing in distributed systems.

• Proven ability to create repeatable delivery patterns, not just address one-off challenges.

• Comfort in navigating organizational and workflow changes alongside technical modifications with customers.

• Excellent verbal and written communication skills: you can effectively engage with senior infrastructure teams and produce a clear architecture document as complementary skills.

• High customer empathy: you recognize that the optimal technical solution may not always align with a customer's constraints, timeline, or organizational realities.

• Self-motivated, analytically oriented, and capable of operating independently in a startup environment.

🏝️ Benefits

• Equity offerings

• Bonus opportunities