Senior Staff DevOps Engineer (AI Platform)

Quick Facts

• Role: Senior Staff DevOps Engineer (AI Platform) for Flow

Description

Own the AWS platform and delivery pipeline for Flow, a conversational AI service desk with its own codebase. You will run production operations (containerized services and managed PostgreSQL), enforce security gates in CI/CD, and operate the AI runtime (routing, failover, credential management, cost attribution, and evaluation pipelines). You’ll also drive reliability practices like SLOs and error budgets while writing infrastructure and operational code in TypeScript.

Responsibilities

• Own the AWS platform, including containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads via infrastructure as code
• Own end-to-end delivery: CI verification, release promotion, gated rollouts with migrations, smoke verification, and automatic rollback
• Operate the production database: schema migrations, capacity planning, replication, and backups/recovery
• Write and test infrastructure, delivery, and operational code in TypeScript with product-level review/testing standards
• Own delivery pipeline security gates and least-privilege deployment/run access
• Operate the AI runtime: model routing/failover, credential management, cost attribution, and eval pipelines that gate changes
• Participate in on-call and help shape SLOs and error budgets at scale
• Contribute to new product designs/features and improve the existing platform
• Mentor teammates and promote knowledge sharing

Requirements

• 12+ years of experience in DevOps, platform, or infrastructure engineering with a track record of delivering high-quality products
• Deep AWS experience operating production platforms at scale
• Strong proficiency in TypeScript
• Infrastructure as code experience in general-purpose tools (e.g., AWS CDK or Pulumi)
• Experience running containerized services in production
• CI/CD and SDLC automation experience using GitHub and GitHub Actions
• PostgreSQL database management experience
• Experience with AI/ML microservice integration
• Experience operating within enterprise cloud governance regimes (service control policies, naming/tagging requirements, restricted IAM, region allowlists)
• Current hands-on fluency with AI-assisted and agentic development

Benefits

• Base pay range: $148,900 - $260,600 (plus equity when applicable), variable/incentive compensation, and benefits
• Health plans including flexible spending accounts
• 401(k) Plan with company match and ESPP
• Matching donations
• Flexible time away and family leave programs