Note: The job is a remote job and is open to candidates in USA. Tessera Labs builds multi-agent AI systems that automate complex business workflows across enterprise platforms. The AI Platform Engineer will design, own, and operate production-grade AI agent infrastructure across multiple cloud providers, focusing on Kubernetes, Terraform, observability, security, reliability, and automation. The role also partners with product and platform engineers to enable secure, portable, and reliable customer environments.
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
Skills
- 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
- 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
Company Overview
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