Senior Staff DevOps Engineer (Flow)

Quick Facts

• Own the AWS platform and end-to-end delivery pipeline for Flow (ServiceNow’s conversational AI service desk)
• Build and operate secure infrastructure, production databases, and an isolated execution plane
• Write infrastructure, delivery, and operational code in TypeScript; handle AI runtime operations and on-call

Description

Own Flow’s end-to-end infrastructure and reliability: the AWS platform, CI verification pipeline, release promotion with gated rollouts, and the operational systems that run customer automations. Operate production PostgreSQL, manage migrations and recovery, and run containerized services and an isolated execution plane. Implement security gates, least-privilege deployment access, and AI runtime capabilities including routing/failover, credential management, cost attribution, and evaluation pipelines.

Responsibilities

• Own the AWS platform: containerized services, managed PostgreSQL, and isolated execution for customer workloads defined via infrastructure as code
• Own delivery end to end: CI verification, release promotion, gated rollouts with migrations, smoke verification, and automatic rollback
• Operate production database: schema migrations, capacity planning, replication, backups, and recovery
• Write and test infrastructure, delivery, and operational code in TypeScript with product-code level review/testing
• Own delivery pipeline security gates and least-privilege IAM access used by deployments
• Operate AI runtime: model routing/failover, credential management, cost attribution, and evaluation pipelines that gate changes
• Carry on-call and help define SLOs and error budgets as the service scales
• Contribute to new product and feature design while enhancing the existing suite
• Mentor colleagues 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 using AWS CDK, Pulumi, or similar
• Experience running containerized services in production
• Experience with SDLC and automation: CI/CD practices across delivery stages using GitHub and GitHub Actions
• Experience with PostgreSQL database management (migrations, replication, backups/recovery)
• Experience integrating AI/ML microservices
• Experience operating within enterprise cloud governance regimes (service control policies, 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 (automated testing, intelligent monitoring, AI-driven insights)
• Experience integrating AI into engineering work processes, decision-making, or problem-solving

Benefits

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