AI Platform Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tessera Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Tessera Labs is a vendor-agnostic, multi-agent AI systems integration platform that gives enterprises a single, unified view across their IT architecture. Pre-trained on thousands of enterprise landscapes and hundreds of years of business process expertise, Tessera adapts to each customer environment to harmonize systems and data and to enable secure, governed execution across ERP and other critical systems. The company emphasizes enterprise-grade governance and controls for regulated industries, accelerating time-to-value while evolving with new data and workflows, and is built on published AI research and patented technology.

📋 Description

• Design, build, and maintain production-grade AI agent infrastructure • Support 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, while supporting GCP and AWS • Enable portable infrastructure across customer environments • Improve observability, security, and system reliability • Deploy and operate applications using Kubernetes and Terraform • Partner with product and platform engineers to unblock delivery • Design and build CI/CD pipelines and own end-to-end build, test, and deployment automation for infrastructure and application code • Build and maintain 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 tooling • Champion an automation-first mindset and ensure automated systems are observable and maintained like production code

🎯 Requirements

• 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 • 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 • Experience with software development and SDLC

🏖️ Benefits

• Equity • 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