[Hiring] Senior Infrastructure Engineer @fridayharbor.ai

Role Description

We’re looking for a Senior Infrastructure Engineer to work closely with our Lead AI Platform & Infrastructure Engineer on the foundation for our next stage of growth. You’ll help decide how our infrastructure evolves, lead the work to get it there, and own the systems you put into production.

• Evolve our production infrastructure.
• Help define the architecture and lead incremental migrations toward a more flexible, cloud-native deployment model.
• Make changes safely, with clear rollout and recovery plans.
• Build the foundations for running AI workloads.
• Work through questions around execution environments, workload isolation, scheduling, orchestration, and resource utilization.
• Evaluate new approaches against concrete product needs.
• Make production understandable and reliable.
• Build observability that helps us understand system behavior, diagnose failures, and make informed decisions about performance, capacity, and cost.
• Improve how engineers ship.
• Develop infrastructure as code, deployment workflows, and useful defaults that make it easier to build, test, and operate services.
• Own the operational follow-through.
• Participate in on-call, improve recovery procedures, test backups, and turn incidents into lasting improvements.
• Build security into everyday engineering.
• Make access controls, secrets management, patching, and data protection part of how our infrastructure works.
• Shape the boundary between infrastructure and platform.
• Partner with our engineering and biz-ops teams to understand what they need and turn those needs into capabilities they can depend on.

Qualifications

• Deep Kubernetes experience in production.
• Experience designing new infrastructure and migrating existing workloads onto it.
• Practical engineering judgment.
• Strong cloud fundamentals.
• The ability to build and automate.
• Ownership and clear communication.

Requirements

• Five or more years in infrastructure, platform, SRE, or a related engineering role.

Nice to Have

• Operating AI applications, agentic workloads, or distributed systems.
• Building execution environments with strong isolation or working with serverless compute.
• Supporting Python services and asynchronous workers.
• Working on a small team where you helped establish infrastructure practices.
• Operating systems that handle sensitive data or support regulated customers.

Benefits

• Base salary of $205,000 - 225,000.
• Equity.
• Comprehensive benefits package.