
Senior AI Infrastructure Engineer
Posted Oct 29

Posted Oct 29
This is a fully remote position, open to applicants in United States.
• Design, construct, and sustain production-grade AI agent infrastructure.
• Provide support for Tessera’s AI infrastructure across all cloud providers.
• Develop and oversee the Azure or Oracle Cloud variant of Tessera’s cloud infrastructure while also supporting GCP and AWS.
• Facilitate portable infrastructure across various customer environments.
• Enhance observability, security, and overall system reliability.
• Deploy and manage applications utilizing Kubernetes and Terraform.
• Collaborate with product and platform engineers to streamline delivery processes.
• Design and establish CI/CD pipelines, taking ownership of end-to-end automation for infrastructure and application build, test, and deployment workflows.
• Create and sustain reusable automation frameworks for environment provisioning, secret rotation, dependency updates, compliance checks, and release management.
• Automate operational runbooks and recurring processes through scripts, pipeline stages, and self-service tools.
• Advocate for an automation-first approach, ensuring that automation is observable and treated with the same care as production code.
• 10-15+ years of experience as a Cloud Infrastructure Engineer.
• Extensive hands-on experience with Terraform.
• Extensive hands-on experience with Kubernetes.
• Extensive hands-on experience in Azure, Oracle Cloud, GCP, or AWS.
• Demonstrated success in designing and managing CI/CD systems, pipeline architecture, GitOps-driven deployments, release automation, and pipeline-as-code methodologies.
• Experience in developing automation frameworks for DevOps and developer workflows, including scripting with Bash, Python, or similar, workflow orchestration, and self-service tooling.
• Solid understanding of networking fundamentals.
• Proven experience in deploying and managing real production systems.
• Familiarity with FluxCD or other GitOps controllers like ArgoCD is a plus.
• Knowledge of cloud security and DevSecOps, encompassing security gates, SBOM generation, and compliance checks within CI/CD pipelines (preferred).
• Experience with software development and the software development life cycle (SDLC) is a plus.
• Background in startup and/or large technology environments.
• Must possess authorization to work in the U.S.
• Must not require immigration sponsorship either now or in the future.
• Equity.
• Engage with cutting-edge AI infrastructure that delivers real enterprise impact.
• Ownership of foundational systems within an early-stage, high-growth company.
• Collaborate with a talented, execution-driven founding team.
• Opportunity to influence the deployment of AI across major enterprise platforms.
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