Senior Solutions Engineer – US Federal

This is a fully remote position, open to applicants in Maryland, +1 more state.

📋 Description

• Collaborate with Account Executives to identify, advance, and finalize revenue opportunities with civilian, defense, and intelligence community agencies.

• Manage the technical relationship with agency prospects throughout the pre-sales process and aim for a technical success.

• Lead or assist with post-sales relationships and renewals when necessary.

• Demonstrate the Coder platform from the perspectives of developer, administrator, and AI-agent workflows, including in classified and air-gapped environments.

• Implement Coder on cloud platforms, such as GovCloud, as well as on-premises Kubernetes or VM infrastructures, including air-gapped and disconnected networks.

• Conduct proofs-of-concept that showcase Coder’s benefits for agentic and LLM-powered development workflows.

• Cultivate subject-matter expertise in Cloud Development Environments and agentic AI development.

• Act as the agency’s representative, relaying insights to Engineering and Product teams.

• Document feature requests and issues in both public and private Git repositories.

• Troubleshoot Coder installations, networking, and Kubernetes components during evaluations, even in classified settings.

• Contribute to the Coder documentation by submitting pull requests.

• Identify technical, security, and mission-related barriers and create swift, effective proofs-of-concept.

• Translate technical proficiency into compelling business cases for program managers, security officers, and mission leaders.

• Recognize technical, security, and procedural risks and engage relevant stakeholders accordingly.

• Provide feedback from field experiences to enhance product and marketing strategies.

⛳️ Requirements

• An active TS/SCI clearance with Polygraph is mandatory at the time of hiring.

• U.S. citizenship is required.

• Must be physically located in the DC / Maryland / Virginia (DMV) area.

• Willingness to travel to customer sites as needed.

• At least 5 years of experience as a Solutions Engineer in selling infrastructure or developer tooling.

• Ideally, experience selling to federal, defense, or intelligence community clients.

• Familiarity with AI tools at both user and infrastructure levels, including coding agents, assistants, model proxies, and LLM routing layers.

• Ability to discuss agency evaluation and adoption of AI tools credibly, even in classified environments.

• Strong customer-facing skills when engaging with technical stakeholders and program offices.

• Capacity to convert technical challenges into mission value.

• Knowledge of agentic AI software development use cases.

• Comfortable leading architecture demonstrations and conducting deep-dive troubleshooting in secure, restricted-access settings.

• Strong fundamentals in Linux and command-line expertise.

• Over 3 years of hands-on experience with Docker and Kubernetes.

• Proficient in AWS GovCloud, Azure Government, or on-premises/air-gapped Kubernetes deployments.

• More than 3 years of experience with Terraform or similar infrastructure-as-code tools.

• Solid understanding of networking concepts, including ingress controllers, proxies, load balancers, and DoD/IC network boundaries.

• A mindset geared towards startup-speed execution, ownership, and a player-coach attitude.

• Bonus: Proven success in high-growth startups and larger software companies.

• Bonus: Direct experience in deploying or supporting AI coding agents.

• Bonus: Background in military, intelligence community, or federal civilian service.

• Bonus: Knowledge of FedRAMP, DoD IL4/IL5, or ATO processes.

• Bonus: Experience with CI/CD, DevOps, or developer-platform products.

• Bonus: Background in platform engineering or experience with developer platform teams.

• Bonus: Relevant certifications in Kubernetes, AWS, or related fields.

🏝️ Benefits

• Equity.

• Commission structure; Solutions Engineers receive a base salary with a 30% variable component.

• Remote work options available.

• Transparent interview process that can be completed within two to four weeks, contingent on scheduling.

• AI tools allowed for take-home assessments.

• Commitment to equal employment opportunity.