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15 days ago
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Requirements and responsibilities
We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands-on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers.This is not an execution-only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work.What You'll DoServe as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflowsOwn onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidenceLead Get Well engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growthHelp customers implement the technical and organizational changes required to adopt agentic development practices at scaleDesign and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segmentsDesign and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraintsTranslate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patternsAnticipate technical and operational risks, escalate to the right internal stakeholders, and track issues through to resolutionContribute to technical documentation, architecture guides, how-to resources, and statements of work that extend your impact across the customer baseCapture structured product feedback from customer deployments and advocate directly with engineering and product teams for roadmap and usability improvementsWhat We're Looking For5 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 deploymentsProven 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 specificity2+ 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 contextAbility 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 stakeholder2 or more years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle2 or more years of experience with Terraform or equivalent infrastructure-as-code tooling; you understand how enterprise teams’ structure, version, and maintain IaC at scaleSolid understanding of Linux systems administration, including networking fundamentals: ingress controllers, proxies, load balancers, and DNS resolution in cloud-native environmentsFamiliarity with CI/CD pipeline design and DevOps practices; you understand how code moves from commit to running workload in an enterprise contextWorking knowledge of cloud security and identity: IAM patterns, network segmentation, secrets management, and compliance-relevant controlsUnderstanding of observability practices including logging, metrics, and tracing across distributed systemsDemonstrated ability to design repeatable delivery patterns, not just solve one-off problemsComfort working through organizational and workflow change alongside technical change with customersStrong 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 skillsHigh customer empathy: you understand that the best technical solution does not always fit a customer's constraints, timeline, or organizational realitySelf-directed, analytically minded, and comfortable operating with full autonomy in a startup environmentBonus tacos if you have(Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)Experience at both early-stage startups and larger software organizationsBackground as a Software Engineer, DevOps Engineer, or Platform Engineer before moving into a customer-facing roleFamiliarity with regulated environments: air-gapped deployments, network isolation, SOC 2, ISO 27001, GDPR, or DORA requirementsExperience with disaster recovery design and multi-region availability patternsCloud cost optimization experience, including rightsizing, reserved capacity, and FinOps practicesExperience with Tailscale or similar overlay networking toolsKubernetes certification (CKA, CKAD, or CKS)Open-source contributionsExperience with Backstage.io or similar internal developer portals and platform toolingPrior work on or alongside a developer platform or platform engineering teamExperience introducing new operating models or delivery patterns across post-sales or go-to-market teamsExperience with LLM gateway or proxy infrastructure (LiteLLM, OpenRouter, or equivalent) in a multi-team or enterprise contextFamiliarity with AI governance frameworks, session audit requirements, or SIEM integration for AI workloadsExperience designing human-in-the-loop breakpoints or escalation patterns for autonomous agent workflowsAbout CoderCoder 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.Interview process 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.AI use during the interview processAs 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.Not permitted: Using AI assistance during conversational interviews.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.Our use of AI in hiringWe 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 careers@coder.com.Coder is a proud Equal Opportunity EmployerWe are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
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