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
(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
Experience with LLM gateway or proxy infrastructure (LiteLLM, OpenRouter, or equivalent) in a multi-team or enterprise context
Familiarity with AI governance frameworks, session audit requirements, or SIEM integration for AI workloads
Experience designing human-in-the-loop breakpoints or escalation patterns for autonomous agent workflows
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.
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 so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact
[email protected].
