tessera-labs - AI Infrastructure Engineer [Senior]
Requirements
• 10-15+ years experience as a Cloud Infrastructure Engineer • Strong hands-on experience with Terraform • Strong hands-on experience with Kubernetes • Strong hands-on experience in Azure, Oracle Cloud, GCP or AWS • 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 • Experience with FluxCD or other GitOps controllers (ArgoCD, etc.) • Understanding of cloud security and DevSecOps, integrating security gates, SBOM generation, and compliance checks into CI/CD pipelines • A passion (and curiosity) about clean, unified infrastructure and best practices • Experience with software development and SDLC and a builder mindset • Somebody with a passion for learning new things and robust, reliable infrastructure • Comfortable owning and defending complex AI agent infrastructure decisions • Experienced in startups and/or big tech environments • Highly self-motivated with a strong ownership mindset • Someone who enjoys building foundational systems that other engineers rely on
Responsibilities
• Design, build, and maintain production-grade AI agent infrastructure • Be part of a team that supports Tessera’s AI infrastructure across every cloud provider • Build and be the primary owner of the Azure or Oracle Cloud variant of Tessera’s cloud infrastructure, also support GCP and AWS. • 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
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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