Infrastructure Engineer

Responsibilities

• Build and operate resilient, scalable, and fault-tolerant infrastructure for high-traffic enterprise AI services.
• Work across SRE, DevOps, infrastructure, and platform initiatives, including on-call operations, release pipelines, multi-region infrastructure, and internal platform capabilities.
• Automate operational tasks and infrastructure management using Python or Go.
• Design and manage cloud infrastructure across AWS, GCP, and Azure, with Kubernetes, Helm, Terraform, and related tooling.
• Use AI-assisted workflows to investigate incidents, draft infrastructure changes, write runbooks, scaffold tooling, and review pull requests.
• Lead incident response, post-mortems, and root-cause analyses; implement architectural improvements to prevent recurrence.
• Own service reliability, performance, and efficiency, including SLOs, error budgets, and on-call operations.
• Provide reliability, performance, and scalability guidance throughout product development and launch.
• Collaborate with product, security, platform, and engineering teams.

Requirements

• 5+ years of experience in infrastructure engineering, DevOps, or a similar role operating large-scale, highly available production systems.
• Production experience running containerized workloads and real clusters.
• Experience with Helm and Terraform or Pulumi on at least one major cloud provider, preferably AWS.
• Proficiency in Python or Go for automation and tooling.
• Daily experience using agentic or AI-assisted development and operations tooling.
• Ability to identify systemic reliability weaknesses and make decisions based on constraints, failure modes, and business tradeoffs.
• Experience with monitoring and logging stacks such as Prometheus, Grafana, ELK, or equivalent.
• Strong communication, collaboration, problem-solving, autonomy, and ownership skills.
• Experience owning at least one infrastructure build end-to-end with measurable outcomes.

Nice to Have

• Software engineering experience building and shipping production services, libraries, or internal frameworks.
• Ability to work across infrastructure automation and feature engineering in Python, Go, or a comparable language.

Compensation and Benefits

• Annual compensation range: $139,800–$273,700.
• Generous paid time off and company holidays.
• Medical, dental, and vision coverage.
• Paid parental leave and fertility and family planning support.
• Flexible spending and health savings account options.
• Wellness and learning and development stipends.
• Company and team off-sites.
• Company stock options and 401(k).