Senior Staff DevOps Engineer

ServiceNow • San Diego, CA

3h

About The Position

Flow by ServiceNow is a standalone conversational AI service desk with its own product and codebase. It helps employees get assistance through Slack, Microsoft Teams, email, or a browser by answering from connected knowledge, handling requests, and running published automations. Flow is a new company within ServiceNow, building its product and practices from first principles with AI as a default part of design, review, and operations.

The Senior Staff DevOps Engineer will own Flow’s infrastructure and operational systems end to end. This includes its AWS platform, delivery pipeline, isolated execution plane for customer automations, production database operations, and the operational surface of its AI runtime. The role also contributes to product development, mentors colleagues, participates in on-call, and helps shape reliability and cost practices as the product scales.

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.
• Experience with infrastructure as code in a general-purpose language, such as AWS CDK or Pulumi.
• Experience running containerized services in production.
• Experience with SDLC and automation, including 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 within enterprise cloud-governance requirements, such as service control policies, mandated naming and tagging, restricted IAM, and region allowlists.
• Experience leveraging or critically thinking about integrating AI into work processes, decision-making, or problem-solving, such as using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s impact.
• Current hands-on fluency with AI-assisted and agentic development; the role expects the person to work this way.
• Experience leveraging AI/ML in engineering and quality processes, such as automated testing, AI-driven insights, or intelligent monitoring.

Responsibilities

• Own the AWS platform, including containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads, defined as infrastructure as code.
• Own delivery end to end, including the CI verification pipeline, release promotion, and gated rollouts with migrations, smoke verification, and automatic rollback.
• Operate the production database, including schema migrations, capacity planning, replication, backups, and recovery.
• Write and test infrastructure, delivery, and operational code in TypeScript to the same review and testing standards as product code.
• Own security gates in the delivery pipeline and least-privilege access used for deployments.
• Operate the AI runtime, including model routing and failover, credential management, cost attribution, and evaluation pipelines that gate changes.
• Participate in team on-call and shape SLOs and error budgets as the service scales.
• Contribute to designing and implementing new products and features and enhancing the existing product suite.
• Mentor colleagues and promote knowledge-sharing.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed