Staff Infrastructure Engineer

Responsibilities

• Own the architecture, operating model, and modernization roadmap for cloud infrastructure and shared services, including systems without clear ownership.
• Design, build, and operate AWS and Kubernetes infrastructure as code using Terraform, delivered through GitOps with ArgoCD and CI/CD with GitHub Actions.
• Establish safe, repeatable standards for AI-assisted infrastructure work and improve team fluency with these practices.
• Strengthen security and compliance through least-privilege IAM and RBAC, identity and access management, network boundaries, and secrets hygiene aligned with SOC2 expectations.
• Optimize infrastructure for reliability, scalability, developer experience, and cost.
• Provide design review, mentorship, documentation, and enablement across the infrastructure team.
• Participate in and improve the shared US-business-hours on-call rotation, incident response, alerting, and runbooks.

Requirements

• 8+ years of infrastructure, cloud, or platform engineering experience, including deep hands-on AWS experience operating production systems at scale.
• Strong Terraform infrastructure-as-code proficiency.
• Experience owning and operating Kubernetes platforms.
• Track record of taking ownership of ambiguous, inherited, or under-documented systems and bringing them to a well-operated state.
• Fluency with AI-assisted engineering tools and sound judgment about their safe application.
• Security and compliance experience in a regulated environment such as HIPAA or SOC2.
• Staff-level technical partnership and influence through standards, reviews, and enablement.
• Demonstrated expertise across multiple infrastructure domains and breadth across adjacent domains.

AI-Assisted Engineering Expectations

• Set standards and safe patterns for using AI assistants and platforms with Terraform and script authoring, runbook and documentation generation, log and query analysis, and support triage.
• Ensure all AI-generated output is reviewed and validated before production use.

Nice-to-Haves

• Okta, OIDC, or SAML.
• Envoy or similar API gateway and service networking technologies.
• Python, Go, or Bash scripting and automation.
• FinOps or cloud cost-optimization experience.
• Platform-scale observability covering metrics, logs, tracing, and alerting.
• Snowflake or similar cloud data warehouses.

Compensation and Benefits

• Annual base pay range: $187,000–$265,000 USD.
• Potential performance-based bonus and equity awards.
• Health, dental, and vision insurance.
• Flexible time off and holidays.
• 401(k) with company match.
• Disability and life insurance.
• Leaves of absence in accordance with applicable laws and company policy.