Manager, Simulation Infrastructure

Job description

Job responsibilities

• Recruit, manage, and mentor a team of high-performing full-stack and infrastructure engineers, focusing on their career growth, performance, and overall team health.
• Own the strategic roadmap and execution for the web applications and tools that support simulation workflows (scenario management, run orchestration, tagging and taxonomy, and results analytics).
• Guide the architectural decisions for scalable cloud infrastructure and container orchestration designed to support massive, parallel batch simulation runs.
• Oversee the design and maintenance of relational databases and secure, high-throughput APIs that connect frontend portals to the underlying simulation systems.
• Drive engineering best practices, reliability, observability, and cost-efficiency across the platform.
• Partner closely with the Simulation Engine team and other stakeholders to align technical capabilities with business needs, define clean integration interfaces, and manage complex, multi-quarter projects.
• Proven track record in engineering management and building healthy, high-performing technical teams.
• Deep understanding of container orchestration (e.g., Kubernetes) and architectural principles for cloud scalability, resilience, and operational health.

Job requirements

• B.S., M.S. or Ph.D. Degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience).
• 5+ years of software engineering experience spanning backend services and cloud infrastructure, including at least 2+ years of direct people management experience.
• Demonstrated experience guiding teams that operate production workloads on container orchestration platforms (e.g., Kubernetes) at scale, alongside strong relational database ecosystems (e.g., PostgreSQL).
• Solid foundational background in building secure, high-throughput APIs and web services (Go, Python, and/or Node.js) with modern frontends such as React.
• Proven experience recruiting, building, and mentoring full-stack or infrastructure engineering teams.
• Experience managing teams that support large-scale batch or parallel compute workloads.
• Track record of successfully managing cloud cost optimization and observability initiatives.
• Experience overseeing teams that utilize infrastructure-as-code and mature CI/CD pipelines.