Senior Staff DevOps Engineer – Flow

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take ownership of the AWS platform, which includes containerized services, managed PostgreSQL, and a dedicated execution environment for customer workloads.

• Establish infrastructure as code for the platform.

• Manage the CI verification pipeline, oversee release promotions, and implement gated rollouts with migrations, smoke verification, and automatic rollback procedures.

• Administer the production database, encompassing schema migrations, capacity planning, replication, backups, and recovery processes.

• Develop and test infrastructure, delivery, and operational code using TypeScript.

• Manage security gates within the delivery pipeline and ensure least-privilege deployment access.

• Oversee the AI runtime, including model routing and failover, credential management, cost attribution, and evaluation pipelines.

• Engage in on-call rotations.

• Define SLOs and error budgets to support scalability.

• Contribute to the design and implementation of new products and features.

• Improve the existing product suite.

• Mentor team members and foster knowledge-sharing.

⛳️ Requirements

• Proven experience in integrating AI into work processes, decision-making, or problem-solving.

• Current, hands-on expertise in AI-assisted and agentic development.

• Experience in applying AI/ML within engineering and quality assurance processes.

• Over 12 years of experience in DevOps, platform, or infrastructure engineering.

• Extensive AWS experience managing production platforms at scale.

• High proficiency in TypeScript.

• Familiarity with infrastructure as code using a general-purpose language, such as AWS CDK or Pulumi.

• Experience in running containerized services in a production environment.

• Knowledge of the software development lifecycle and automation practices.

• Proficient in using GitHub for version control and GitHub Actions for automated build, testing, and deployment workflows.

• Experience in managing PostgreSQL databases.

• Familiarity with AI/ML microservice integration.

• Experience working within enterprise cloud governance frameworks, including service control policies, mandated naming and tagging, restricted IAM, and region allowlists.

🏝️ Benefits

• Flexible or remote work arrangements.

• AI-assisted and agentic development environment.

• Opportunities for mentorship and knowledge-sharing.

• Participation in on-call rotations with shared SLOs and error budgets.

• An accessible and inclusive application experience.

• Reasonable accommodations available during the application process.