Cloud Infrastructure, DevOps Engineer

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🕒 March 31

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Tessera Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Tessera Labs is a vendor-agnostic, multi-agent AI systems integration platform that gives enterprises a single, unified view across their IT architecture. Pre-trained on thousands of enterprise landscapes and hundreds of years of business process expertise, Tessera adapts to each customer environment to harmonize systems and data and to enable secure, governed execution across ERP and other critical systems. The company emphasizes enterprise-grade governance and controls for regulated industries, accelerating time-to-value while evolving with new data and workflows, and is built on published AI research and patented technology.

📋 Description

• 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

🎯 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