Cloud Infrastructure, DevOps Engineer
Location
California
Posted
115 days ago
Salary
0
Seniority
Senior
Job Description
Cloud Infrastructure, DevOps Engineer
Tessera Labs
• Design, build, and maintain production-grade cloud infrastructure • Be part of a team that supports Tessera's infrastructure across every cloud provider • Design, build, and operate Tessera's multi-cloud infrastructure across AWS, Azure, GCP and Oracle. • Enable portable infrastructure across customer environments • Improve observability, security, and system reliability • Deploy and operate applications using Kubernetes and Terraform • Partner closely with product and platform engineers to unblock delivery • Design and build CI/CD pipelines, own the end-to-end automation of build, test, and deployment workflows for both infrastructure and application code • Build and maintain a reusable automation framework for day-to-day DevOps and developer workflows, covering environment provisioning, secret rotation, dependency updates, compliance checks, and release management • Automate operational runbooks and recurring processes, identify manual work across the engineering org and systematically eliminate it through scripts, pipeline stages, and self-service tooling • Champion an automation-first mindset across the team, if something is done twice, it should be automated; if it's automated, it should be observable and maintained like production code
Job Requirements
- 3+ years experience as a Cloud Infrastructure Engineer
- Hands-on experience with Terraform
- Hands-on experience with Kubernetes
- Strong hands-on experience with Cloud providers (AWS, Azure, GCP, Oracle)
- Proven track record designing and owning CI/CD systems, pipeline architecture, GitOps-driven deployments, release automation, and pipeline-as-code practices expanded
- Experience building automation frameworks for DevOps and developer workflows, including scripting (Bash, Python, or similar), workflow orchestration, and self-service tooling that reduces manual intervention across engineering processes expanded
- Strong networking fundamentals
- Proven experience deploying and operating real production systems
Benefits
- Work on cutting-edge AI infrastructure with real enterprise impact
- Own foundational systems at an early-stage, high-growth company
- Collaborate with a sharp, execution-focused founding team
- Shape how AI is deployed across the largest enterprise platforms in the world
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