Senior Staff DevOps Engineer – Flow

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $148.9k - $260.6k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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ServiceNow

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Post-IPO Equity on 2022-12

Enterprise • SaaS • Artificial Intelligence

ServiceNow is a platform that offers AI-powered solutions and automation for businesses to enhance productivity and streamline workflows. Its AI agents are designed to autonomously learn, reason, make decisions, and take action to transform business processes across various domains such as IT, HR, customer service, and app development. The platform enables organizations to integrate data from diverse sources, facilitating business transformation and operational efficiency. Recognized for its leadership in AI IT service management and trusted by a significant portion of the Fortune 500, ServiceNow collaborates with other global leaders like Microsoft and AWS to bring advanced AI capabilities to modernize business operations.

📋 Description

• Own the AWS platform, including containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads • Define infrastructure as code and own delivery end to end • Own CI verification, release promotion, gated rollouts, 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 • Own security gates in the delivery pipeline and least-privilege deployment access • Operate the AI runtime, including model routing and failover, credential management, cost attribution, and evaluation pipelines • Participate in on-call and shape SLOs and error budgets • Contribute to new products and features and enhance the existing product suite • Mentor colleagues and promote knowledge-sharing

🎯 Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving • Current, hands-on fluency with AI-assisted and agentic development • Experience leveraging AI/ML in engineering and quality processes • 12+ years of experience in DevOps, platform or infrastructure engineering • Deep AWS experience, operating production platforms at scale • Strong proficiency in TypeScript • Infrastructure as code in a general-purpose language, such as AWS CDK or Pulumi • Experience running containerized services in production • Experience with software development lifecycle and automation • Experience 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 • Experience delivering high-quality products

🏖️ Benefits

• Equity (when applicable) • Variable/incentive compensation • Health plans • Flexible spending accounts • 401(k) Plan with company match • ESPP • Matching donations • Flexible time away plan • Family leave programs

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