Engineering Manager - ML Delivery & DevOps @ SDV International

Salary: $195,000 - 195,000 per year

Requirements:

• Active DoD Secret clearance (must be current and maintained throughout the contract).

• Onsite presence in Coronado, CA (this role is not remote).

• Over 10 years of professional coding/programming experience in building production systems.

• Leadership experience in engineering: proven track record of leading engineers and owning delivery outcomes (formal management or documented technical leadership).

• Expertise in code quality management: skilled in reviewing pull requests, setting engineering standards, and enhancing team efficiency and quality.

• Familiarity with modern delivery tools: experience in CI/CD, automated testing, build/release pipelines, and developer tools.

• Knowledge of cloud and operational delivery: experience supporting and deploying systems through the full lifecycle (build → validate → release → operate).

• Solid understanding of systems and troubleshooting: strong foundational skills in systems, networking, and addressing real-world debugging issues.

• Excellent communication abilities: capacity to articulate technical decisions clearly and produce comprehensive technical documentation.

Responsibilities:

• Own the delivery process: convert stakeholder requirements into actionable roadmaps, milestones, and measurable objectives.

• Lead and support the team: direct engineers throughout design, implementation, testing, deployment, and ongoing operations.

• Maintain a technical and hands-on role: review code, mentor engineers, and address complex challenges (debugging, reliability issues, performance).

• Shape system architecture: influence system design, capacity planning, and tooling selections (development infrastructure, environments, and pipelines).

• Operationalize machine learning delivery: facilitate ML workflows (training → packaging → deployment → monitoring) with a focus on production-oriented engineering.

• Ensure clear communication: create concise documentation and effectively present complex subjects to diverse audiences, both technical and non-technical.

Technologies:

• AI

• CI/CD

• Cloud

• Support

• Machine Learning

• Docker

• Helm

• Kanban

• Kubernetes

• Security

• Terraform

More:

We are hiring a hands-on engineering manager to lead a team in delivering production-grade ML-enabled solutions from roadmap to deployment within a cleared DoD environment. This role requires on-site work in Coronado, CA, as we modernize our digital ecosystem, focusing on secure, scalable AI-enabled systems. We offer competitive compensation, comprehensive health benefits, a 401K with employer matching, and generous paid time off. Diversity is essential to our work culture, and we are proud to be an equal opportunity employer.

last updated 6 week of 2026