- Own the AWS platform Flow runs on – containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads — all defined as infrastructure as code.
- Own delivery end to end: the CI verification pipeline, release promotion, and gated rollouts with migrations, smoke verification and automatic rollback.
- Operate the production database: schema migrations, capacity planning, replication, backups and recovery.
- Write and test infrastructure, delivery and operational code in TypeScript, held to the same review and testing bar as product code.
- Own the security gates in the delivery pipeline and the least-privilege access that deploys run under.
- Operate the AI runtime: model routing and failover, credential management, cost attribution, and the eval pipelines that gate changes.
- Carry on-call with the rest of the team, and shape the SLOs and error budgets that come with scale.
- Contribute to the design and implementation of new products and features while also enhancing the existing product suite.
- Be a mentor for colleagues and help promote knowledge-sharing.
## Qualifications
We don’t expect anyone to match every line below. If most of it describes you, we’d like to hear from you.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
- Current, hands-on fluency with AI-assisted and agentic development. We expect you to work this way.
- Experience leveraging AI/ML in engineering and quality processes (e.g., automated testing, AI-driven insights, intelligent monitoring).
- 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 in a general-purpose language — AWS CDK, Pulumi or similar.
- Experience running containerized services in production.
- Experience with software development lifecycle (SDLC) and automation — implementing automation, testing strategies, and CI/CD practices across delivery stages using GitHub for version control and GitHub Actions for automated build, test, and deployment workflows.
- Experience with PostgreSQL database management.
- Experience with AI/ML microservice integration.
- Experience operating inside an enterprise cloud-governance regime — service control policies, mandated naming and tagging, restricted IAM, region allowlists — and delivering within them.
**Why join us**
Flow is early enough that the platform’s patterns are still being set, and one engineer’s decisions carry. You’ll mature the delivery, reliability and cost practices a fast-growing AI product needs, inside a real enterprise governance regime — with ServiceNow’s customers, scrutiny and scale behind you.
For positions in this location, we offer a base pay of $148,900 - $260,600 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.