Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Act as the main technical authority for post-sales clients, providing guidance on deployment architecture, environment design, and the integration of Coder across human and AI development workflows.

• Manage onboarding processes from start to finish, transitioning customers from contract signing to effective utilization.

• Lead initiatives to address architecture, deployment, or organizational challenges impacting customer well-being or growth.

• Assist clients in implementing necessary technical and organizational modifications for scalable agentic development.

• Create and document repeatable delivery models for onboarding, architecture, and adoption.

• Develop and propose reference architectures tailored to customer cloud settings, security requirements, and organizational limitations.

• Convert customer environment complexities into actionable guidance on networking, ingress, identity, and infrastructure configurations.

• Foresee technical and operational risks, escalate concerns, and monitor them until resolved.

• Contribute to technical documentation, architecture guides, how-to resources, and statements of work.

• Gather structured product feedback and serve as an advocate with engineering and product teams for enhancements to the roadmap and usability.

⛳️ Requirements

• At least 5 years of experience in Forward Deployed Engineering, Solutions Architecture, Platform Engineering, or a similar post-sales technical position.

• Proven experience in guiding enterprise clients through intricate technical deployments.

• Practical experience in designing and implementing cloud infrastructure on AWS, Google Cloud, or Microsoft Azure.

• More than 2 years of experience deploying or managing AI coding agents in production or near-production settings.

• Capability to clarify the differences between workspace-local agent tools and centralized agentic harnesses to security or compliance stakeholders.

• Over 2 years of production Kubernetes experience, encompassing cluster design, workload scheduling, networking, storage, and lifecycle management.

• More than 2 years of experience with Terraform or equivalent infrastructure-as-code technologies.

• Strong knowledge of Linux systems administration and cloud-native networking, including ingress controllers, proxies, load balancers, and DNS.

• Familiarity with CI/CD pipeline design and DevOps methodologies.

• Working understanding of cloud security and identity management, including IAM, network segmentation, secrets management, and compliance controls.

• Knowledge of observability practices such as logging, metrics, and tracing.

• Ability to create repeatable delivery models.

• Comfort in supporting organizational and workflow changes alongside technical transformations.

• Excellent verbal and written communication skills.

• High level of customer empathy.

• Self-motivated, analytical, autonomous, and adaptable to a startup environment.

🏝️ Benefits

• Equity

• Bonus

• Remote work arrangement

• Transparent interview process designed to take two to four weeks, subject to availability

• Permission to use AI tools for take-home assessments