Engineering Manager, Infrastructure

Responsibilities

• Hire, coach, and develop infrastructure and site reliability engineers; set goals, provide feedback, and manage performance.
• Set the technical direction and roadmap for infrastructure and SRE across reliability, security, cost, and developer experience.
• Build operating practices and paved paths that support rapid, reliable, and secure software delivery.
• Partner with engineering and data science teams to deploy secure, observable, reliable software across containerized applications, internal tools, ML pipelines, and AI model-training workloads.
• Oversee infrastructure services across multiple cloud providers and environments, including compute, load balancers, databases, secrets management, and validated or GxP-relevant workloads.
• Ensure quality and optimization of infrastructure as code, container images, and CI/CD pipelines.
• Review requirements, design documents, operating procedures, and maintenance practices.
• Drive infrastructure and SRE training, mentoring, documentation, and knowledge sharing.
• Own support rotation coverage, escalation paths, incident retrospectives, and operational improvements.
• Manage budgeting, resourcing, estimates, tracking, and reporting for infrastructure initiatives.

Requirements

• 7+ years of combined hands-on infrastructure/SRE experience and people management.
• 3+ years of direct management experience managing Site Reliability, Infrastructure, or DevOps engineers.
• Track record of hiring, developing, and retaining strong engineers.
• Strong operational and reliability judgment, including advanced diagnostics, incident response, and root-cause analysis.
• Bias toward automation and ability to apply sound judgment to operational tradeoffs.
• Point of view on AI-native engineering and the operational requirements of an agentic software development lifecycle.
• Exceptional collaboration and communication skills across technical and non-technical stakeholders.
• Experience managing or coordinating technical projects and programs, including budgeting and reporting.
• Working knowledge of AWS and Snowflake.
• Working knowledge of Docker, GitHub, Kubernetes, Python, Terraform/OpenTofu, and virtual networking.
• Familiarity with multi-tenant COTS and FOSS software applications.

Nice-to-haves

• Experience with Azure, Google Cloud, or Vercel.
• Digital forensics experience.
• Experience supporting regulated or validated workloads.
• Pharmaceutical or biotech experience.

Compensation

• Total compensation range: $185,500–$232,000.
• Compensation may include equity, benefits, and perks.