Member of Technical Staff

About the Role

This is a highly technical, hands-on position for an engineer who thinks beyond traditional DevOps. You will own infrastructure reliability, scalability, and observability while pushing toward a future where infrastructure increasingly manages itself through AI agents and intelligent automation.

What You'll Do

• Build agentic infrastructure: Design and implement AI-powered workflows for infrastructure provisioning, deployments, monitoring, incident detection, and automated remediation.
• Own reliability at scale: Architect resilient, secure, and scalable cloud infrastructure that supports rapidly evolving AI products and workloads.
• Make systems observable: Build comprehensive logging, metrics, distributed tracing, and alerting systems that provide actionable visibility into production health.
• Automate operational complexity: Eliminate repetitive infrastructure work through intelligent automation, self-service tooling, and agent-driven operations.
• Own infrastructure lifecycle management: Drive cloud security hygiene, dependency upgrades, runtime migrations, and infrastructure modernization from design through production.
• Improve developer velocity: Build infrastructure platforms and workflows that make deploying, debugging, and operating services effortless for engineers.
• Raise the engineering bar: Mentor engineers, establish technical standards, and influence architectural decisions through hands-on technical leadership.

What We're Looking For

We are seeking staff-level engineering expertise with deep experience in Infrastructure, DevOps, Site Reliability Engineering (SRE), or Platform Engineering. Candidates must have 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 are required 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 is essential. Experience mentoring engineers while remaining deeply involved in implementation will be highly valued.