Sr. DevOps Engineer

Yugabyte is the company behind YugabyteDB, the AI-ready, multi-modal, distributed PostgreSQL database for cloud-native apps. Trusted by industry leaders including Shopify, Paramount+, GM, Kroger, Fiserv, and NPCI, YugabyteDB has been deployed in over 100 countries and powers more than 5 million clusters worldwide.

Together, our hard-working team of experts and our industry-leading technology are uniquely positioned to meet the demands of modern workloads: geo-distributed, ultra-resilient, and built to scale without limits.

Our Yugabeings (distributed, like our database) span 12+ countries and multiple time zones, sharing expertise from diverse backgrounds and industries.

Role Overview

As a Senior DevOps Engineer, your mission is to accelerate Yugabyte's engineering velocity. You will own, scale, and evolve the core infrastructure powering our software development, automated testing, and release pipelines. Your work directly impacts how quickly and reliably our global engineering team can build and ship YugabyteDB and YugabyteDB Anywhere.

This isn’t a passive infrastructure-maintenance role. You will collaborate closely with Core Engineering, SRE, Cloud, and Security teams to eliminate developer friction, optimize massive test suites, and build secure, resilient deployment platforms

Key Responsibilities

• Developer Platform Ownership: Own and optimize the end-to-end developer pipeline, covering source control, build systems, test orchestration, and artifact release.

• Scale CI/CD Infrastructure: Design, scale, and maintain our heavy-duty distributed CI/CD engines to support a rapidly growing engineering team.

• Test Orchestration & Performance: Build and refine internal tooling for massive test automation execution, observability, and flaky-test debuggability.

• Build Optimization: Profile and optimize compilation, linking, and test cycle times to keep developer feedback loops as short as possible.

• Kubernetes & Cloud Platforms: Build and manage cloud-native testing and deployment environments utilizing Docker and Kubernetes across AWS, GCP, and Azure.