Senior Staff Platform Engineer

Role overview Own the cloud and operational foundations behind a large-scale enterprise data platform and its real-time AI products. You’ll build infrastructure, delivery systems, and reliability practices that let product engineers ship safely as workloads and customer needs grow.

Responsibilities - Build and operate cloud infrastructure, with infrastructure as code and platform management. - Maintain data pipeline orchestration, distributed compute, and messaging systems. - Improve container-based deployment, CI/CD pipelines, and tools used by developers. - Set up monitoring, alerting, logging, and tracing to make system health visible. - Guide reliability work, including service objectives, capacity planning, incident response, and automation that reduces repetitive work.

Requirements - At least five years building and operating production cloud infrastructure at scale. - Strong experience with infrastructure as code and cloud platforms; Azure experience is useful. - Knowledge of container orchestration and deployment patterns, including Kubernetes and Docker. - Experience maintaining CI/CD pipelines, deployment automation, or developer tooling. - Familiarity with observability practices and systems. - A reliability-focused approach to service objectives, incidents, capacity, and operational toil.

Nice to have - Experience with data pipelines, streaming, or distributed compute; familiarity with Ray, Kafka, or Azure Service Bus. - Background in enterprise data platforms or B2B software where uptime and data integrity matter. - Experience establishing infrastructure at a growing startup.

Benefits and work setup - Remote role in the United States, with flexible work arrangements. - Salary, annual bonus, equity options, paid medical, dental, and vision coverage, and an employer-supported 401(k). - Vacation and sick leave, work equipment, and opportunities to influence technical direction as the platform grows.