Overview:
In this role you will own and operate the Flow AWS platform and end-to-end delivery pipelines within a growing AI-enabled product. You’ll work on containerized services, managed databases, and an isolated AI execution plane, while shaping security gates, cost, and reliability at scale. You’ll collaborate across product, security, and SRE teams to deliver automated deployments, robust observability, and cost-conscious operations. This is a hands-on, craft-focused opportunity to help bridge AI-driven workflows with enterprise governance at ServiceNow.
Responsibilities:
Own the AWS platform (containers, PostgreSQL, isolated execution plane) defined as infrastructure as code Own delivery end-to-end: CI verification, release promotion, migrations, smoke tests, automatic rollbacks Operate the production database: schema migrations, capacity planning, replication, backups, recovery Write and test infrastructure, delivery and operational code in TypeScript with product-quality review Own security gates in the delivery pipeline and least-privilege deployment Operate the AI runtime: model routing, failover, credential management, cost attribution, eval pipelines Carry on-call with the team and shape SLOs and error budgets Contribute to design and implementation of new products/features; mentor colleagues and promote knowledge-sharing
Key requirements:
Experience integrating AI into work processes and decision-making Hands-on fluency with AI-assisted development Experience leveraging AI/ML in engineering and quality processes 12+ years in DevOps/platform/infrastructure engineering Deep AWS experience at scale Strong TypeScript proficiency Infrastructure as code using AWS CDK or Pulumi Experience running containerized services in production SDLC and automation with GitHub and GitHub Actions Experience with PostgreSQL Experience with AI/ML microservice integration Operate within enterprise cloud-governance regimes mentoring ownership mindset cross-functional collaboration AWS TypeScript AWS CDK