[Hiring] AI Platform Engineer @Tessera Labs

Role Description

As an AI Platform Engineer, you’ll design and own production-grade AI agent infrastructure that supports Tessera’s AI systems across multiple cloud providers. You’ll work on everything from Kubernetes and Terraform to observability, security, and reliability with real ownership over architectural decisions.

This is a hands-on, senior IC role for someone who enjoys thinking deeply about systems and building AI agent infrastructure the right way.

What You’ll Do

• 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

Qualifications

• 5+ 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
• 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
• Strong networking fundamentals
• Proven experience deploying and operating real production systems

Requirements

• 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
• Deep networking expertise
• A passion (and curiosity) about clean, unified infrastructure and best practices
• Experience with software development and SDLC and a builder mindset

Who You Are

• 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

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