Level

Tessera LabsPosted 4w ago

AI Infrastructure Engineer

AI Infrastructure Engineer at Tessera Labs scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Remote in the U.S.)seniorFullTime$200k-$250k

AI in this role

Design and operate robust, multi-cloud infrastructure to support production-grade AI agent workflows.

databrickskubernetesterraformazureawsgcporacle-cloud
ai-agentsai-automationai-infrastructurecloud-architectureci-cdobservabilitysecurityreliability

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.

This is a high-impact role because it directly enables our ability to onboard and operate enterprise customer environments under strict security and compliance constraints while preserving developer velocity. The work reduces integration risk, standardizes operational practices across hyperscalers, and ensures product teams can ship safely without infrastructure becoming a bottleneck.

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.

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

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI AutomationAI InfrastructureCloud ArchitectureCi CdObservabilitySecurityReliability

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where ai infrastructure was part of your work. What did you do?
  4. Tell me about a project where cloud architecture was part of your work. What did you do?
  5. Tell me about a project where ci cd was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, AI Automation, AI Infrastructure, Cloud Architecture, and Ci Cd. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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