Senior Staff DevOps Engineer – Flow

ServiceNow

. Own the AWS platform, including containerized services, managed PostgreSQL, and an isolated execution plane for customer workloads .

Posted 11/10/2026full-timeRemote • Massachusetts • United StatesSenior💰 $148,900 - $260,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in AWS platform management, including containerized services and PostgreSQL database operations, while leveraging AI/ML for enhanced engineering processes. Proficient in TypeScript and infrastructure as code, with a strong focus on security and automation in delivery pipelines.

Highest-signal resume keywords

AWS Platform ManagementTypeScript ProficiencyInfrastructure As CodeAI/ML IntegrationDevOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSTypeScriptInfrastructure As CodePostgreSQLAI/MLContainerized ServicesGitHubGitHub ActionsCI/CDSchema Migrations

Soft Skills

MentoringKnowledge Sharing

Tools & Technologies

AWS CDKPulumiAI RuntimeDelivery Pipeline

Industry Keywords

DevOpsPlatform EngineeringCloud GovernanceSoftware Development LifecycleAutomation

Tech Stack

Tools & technologies

AWSCloudPostgresTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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