Member of Technical Staff, Infrastructure

What You'll Do7

• Design and implement AI-powered workflows for infrastructure provisioning, deployments, monitoring, incident detection, and automated remediation.
• Architect resilient, secure, and scalable cloud infrastructure that supports rapidly evolving AI products and workloads.
• Build comprehensive logging, metrics, distributed tracing, and alerting systems that give actionable visibility into production health.
• Eliminate repetitive infrastructure work through intelligent automation, self-service tooling, and agent-driven operations.
• Drive cloud security hygiene, dependency upgrades, runtime migrations, and infrastructure modernization from design through production.
• Build infrastructure platforms and workflows that make deploying, debugging, and operating services effortless for engineers.
• Mentor engineers, establish technical standards, and influence architectural decisions through hands-on technical leadership.

Requirements9

• Staff-level engineering expertise with deep experience in Infrastructure, DevOps, Site Reliability Engineering, or Platform Engineering.
• Strong hands-on experience operating production systems on major cloud platforms such as AWS, GCP, or Azure.
• Expertise in infrastructure as code, container orchestration, CI/CD, networking, cloud security, and distributed systems.
• Demonstrated experience designing observability and incident response systems for complex production environments.
• Proven ownership of infrastructure migrations, security improvements, and reliability initiatives.
• AI-native engineering habits: you already use AI coding agents extensively in your daily development workflow and have built automation that meaningfully reduces engineering toil.
• Strong software engineering fundamentals and the ability to build internal tools, automation frameworks, and production-grade infrastructure services.
• A track record of independently identifying systemic problems, designing solutions, and shipping them end to end.
• Experience mentoring engineers and improving technical practices while remaining deeply involved in implementation.

Who Should Apply

This role suits a staff-level infrastructure engineer who has run complex production systems on AWS, GCP, or Azure and already uses AI coding agents to cut toil. You should have hands-on experience with infrastructure as code, container orchestration, observability, and incident response, plus a record of leading migrations and mentoring engineers while staying close to implementation.

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