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 • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AWS platform management, including containerized services and PostgreSQL database operations. Proficient in TypeScript and infrastructure as code, with a strong focus on AI/ML integration and DevOps practices.

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

AWS CDKPulumiPostgreSQL ManagementContainerized ServicesInfrastructure AutomationSchema MigrationsCapacity PlanningGitHub ActionsAI Runtime OperationsError Budgets

Soft Skills

MentoringKnowledge Sharing

Tools & Technologies

GitHubCI Verification PipelineDelivery Pipeline

Industry Keywords

Cloud GovernanceService Control PoliciesIAMEnterprise Cloud

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 for the platform
Own 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
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 rotations
Shape SLOs and error budgets for 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

Experience 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
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 using 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 within enterprise cloud-governance regimes, including service control policies, mandated naming and tagging, restricted IAM, and region allowlists

Benefits

Comp & perks

Flexible or remote work persona
AI-assisted and agentic development environment
Mentorship and knowledge-sharing opportunities
On-call participation with shared SLOs and error budgets
Accessible and inclusive application experience
Reasonable accommodations during the application process