AI Infrastructure Engineer

Tessera Labs

San Jose (CA)

On-site

USD 200,000 - 250,000

Full time

29 hours ago
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Job summary

Tessera Labs in San Jose, CA, is building production-grade AI agent infrastructure across multiple clouds. As an AI Platform Engineer, you’ll own the infrastructure and shape CI/CD pipelines, Kubernetes, and Terraform deployments that power Tessera’s AI systems.

You’ll collaborate with product and platform teams to ensure security, observability, and reliable operation across AWS, Azure, Oracle Cloud, GCP, and more.

Qualifications

  • 5+ years of experience as a Cloud Infrastructure Engineer (in production environments).
  • Strong hands-on experience with Terraform and Kubernetes.
  • Experience with multiple cloud providers (Azure, Oracle Cloud, GCP or AWS).
  • Proven track record designing CI/CD systems, GitOps deployments, and release automation.

Responsibilities

  • Design, build, and maintain production-grade AI agent infrastructure.
  • Own cloud infrastructure across Azure/Oracle/GCP/AWS.
  • Design and implement CI/CD pipelines and automation for infra and apps.
  • Improve observability, security, and reliability of systems.

Skills

Terraform
Kubernetes
Azure
Oracle Cloud
GCP
AWS
CI/CD
GitOps
Bash
Python
Networking
Production systems

Tools

FluxCD
ArgoCD

Job description

About Tessera Labs

Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, DataBricks, and more.

AI Platform Engineer
About Tessera Labs

Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, DataBricks, and more.

Our mission is simple but ambitious: bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

About The Team

The AI platform team builds and operates the foundational AI agent infrastructure that lets Tessera run reliably, securely, and consistently across customer environments. This includes a portable cloud infrastructure that makes each environment production-ready: container orchestration (Kubernetes), networking, and automation that ensures our product behaves the same regardless of the underlying cloud provider.

The Role

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.

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
Must-Have 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 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
Nice-to-Have Qualifications
  • 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 - - duplicate from above
  • 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
Why Join Tessera Labs
  • 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

Compensation Range: $200K - $250K

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