Member of Technical Staff, Infrastructure

• 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.

• 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.

• You've built infrastructure automation that eliminates entire categories of manual operational work.
• You've experimented with or deployed AI agents for infrastructure operations, incident triage, or automated remediation.
• You think about infrastructure as a programmable, increasingly autonomous system rather than a collection of manually managed services.
• You've helped small engineering teams operate highly reliable systems at significant scale.
• You're equally comfortable debugging a production incident, designing infrastructure architecture, and writing the code to improve both.

Project and contracting process: the hiring partner. Applications continue on the provider's website.