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 • California • United StatesSenior💰 $148,900 - $260,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AWS platform management, including containerized services and PostgreSQL database operations, while applying infrastructure as code principles. Proficient in TypeScript and experienced in AI/ML integration within engineering processes.

Highest-signal resume keywords

AWS Platform ManagementTypeScript ProficiencyInfrastructure As CodeCI/CD PracticesPostgreSQL Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS CDKPulumiContainerized ServicesAI/ML IntegrationSDLC AutomationGitHub ActionsSchema MigrationsCapacity PlanningSmoke VerificationError Budgets

Soft Skills

MentoringKnowledge Sharing

Tools & Technologies

GitHubAI RuntimeDelivery Pipeline Security

Industry Keywords

DevOpsPlatform EngineeringInfrastructure EngineeringEnterprise Cloud GovernanceService Control Policies

Tech Stack

Tools & technologies

AWSCloudPostgresSDLCTypeScript

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
Own delivery end to end, including 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 delivery-pipeline security gates 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 rotations
Shape SLOs and error budgets at scale
Contribute to new product and feature design and implementation
Enhance the existing product suite
Mentor colleagues and promote knowledge-sharing

Requirements

What you’ll need

12+ years of experience in DevOps, platform or infrastructure engineering
Experience leveraging or critically thinking about integrating 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
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 SDLC and automation, including testing strategies and CI/CD practices
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 within enterprise cloud-governance regimes
Ability to work under service control policies, mandated naming and tagging, restricted IAM, and region allowlists

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