Senior Staff DevOps Engineer (Flow)

Quick Facts

• Role: Senior Staff DevOps Engineer (Flow)

Description

Own and operate Flow’s AWS platform end to end—containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads. You’ll own delivery from CI verification through release promotion and gated rollouts (migrations, smoke verification, automatic rollback), and operate production data and security gates with least-privilege access. You’ll also manage the AI runtime (model routing/failover, credential management, cost attribution, and eval pipelines), shape SLOs/error budgets, and mentor the team.

Responsibilities

• Define AWS infrastructure as code for containerized services, managed PostgreSQL, and isolated execution for customer workloads
• Build and run CI verification, release promotion, and gated rollouts with migrations, smoke checks, and auto-rollback
• Operate the production database (schema migrations, capacity planning, replication, backups, recovery)
• Write and test infrastructure, delivery, and operational code in TypeScript to the same standards as product code
• Implement security gates in the delivery pipeline and least-privilege IAM for deployment/runtime access
• Operate the AI runtime: model routing/failover, credential management, cost attribution, and eval pipelines that gate changes
• Support on-call, help define SLOs and error budgets, and improve reliability and cost practices
• Contribute to new product feature design/implementation and improve existing product capabilities
• Mentor colleagues and promote knowledge-sharing

Requirements

• 12+ years of DevOps/platform/infrastructure engineering experience with a track record of high-quality product delivery
• Deep AWS expertise operating production platforms at scale
• Strong proficiency in TypeScript
• Infrastructure as code in a general-purpose language (AWS CDK, Pulumi, or similar)
• Experience running containerized services in production
• SDLC and automation experience: CI/CD practices across delivery stages using GitHub and GitHub Actions
• PostgreSQL database management experience
• AI/ML microservice integration experience
• Enterprise cloud governance experience (service control policies, mandated naming/tagging, restricted IAM, region allowlists)
• Current, hands-on fluency with AI-assisted and agentic development
• Experience leveraging AI/ML in engineering and quality processes (e.g., automated testing, AI-driven insights, intelligent monitoring)
• Experience integrating AI into work processes and decision-making/problem-solving (e.g., AI-powered tools, automated workflows, analyzing AI insights)

Benefits

• Opportunity to shape platform patterns early, with impactful engineering decisions
• Build reliability, delivery, and cost practices for a fast-growing AI product within an enterprise governance environment
• Flexible/remote work personas depending on location and job needs