
Senior Staff DevOps Engineer – Flow
Posted 19 hours ago

Posted 19 hours ago
This is a fully remote position, open to applicants in Massachusetts.
• Take ownership of the AWS platform, which includes containerized services, managed PostgreSQL, and a dedicated execution environment for customer workloads.
• Establish infrastructure as code and manage the delivery process from start to finish.
• Oversee CI verification, release promotions, gated rollouts, migrations, smoke verifications, and automatic rollbacks.
• Manage the production database, encompassing schema migrations, capacity planning, replication, backups, and recovery processes.
• Develop and test infrastructure, delivery, and operational code using TypeScript.
• Ensure security measures in the delivery pipeline and maintain least-privilege access for deployments.
• Administer the AI runtime, which includes model routing and failover, credential management, cost attribution, and evaluation pipelines.
• Engage in on-call duties and help define SLOs and error budgets.
• Contribute to the development of new products and features while enhancing the current product suite.
• Guide colleagues and foster a culture of knowledge sharing.
• Proven experience in utilizing or critically assessing the integration of AI into workflows, decision-making, or problem-solving.
• Up-to-date, hands-on expertise with AI-assisted and agentic development.
• Background in leveraging AI/ML within engineering and quality assurance processes.
• A minimum of 12 years’ experience in DevOps, platform, or infrastructure engineering.
• Extensive AWS experience, managing production platforms at scale.
• Strong command of TypeScript.
• Proficiency in infrastructure as code using a general-purpose language, such as AWS CDK or Pulumi.
• Experience operating containerized services in a production environment.
• Familiarity with the software development lifecycle and automation practices.
• Experience with GitHub for version control and GitHub Actions for automated build, testing, and deployment workflows.
• Knowledge of PostgreSQL database management.
• Experience integrating AI/ML microservices.
• Background working within an enterprise cloud-governance framework.
• Proven track record of delivering high-quality products.
• Equity (when applicable)
• Variable/incentive compensation
• Health plans
• Flexible spending accounts
• 401(k) Plan with company match
• Employee Stock Purchase Plan (ESPP)
• Matching donations
• Flexible time away plan
• Family leave programs
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