Team8 Stealth Mode Startup-Senior Backend Engineer
Posted Jun 15 · 0 applicants
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The role in plain words
This role involves building and architecting backend services and deployment topologies for an AI trust platform. You will make cloud-native products run across GCP, AWS, and on-premise or air-gapped environments while owning the infrastructure stack using Kubernetes and Terraform. Additionally, you will collaborate with AI researchers and frontend engineers to design clean, maintainable systems.
- 5+ years of backend engineering on large-scale production systems
- Python
- TypeScript
- GCP
- AWS
- Experience deploying in on-prem / air-gapped / regulated environments
- Experience running ML/LLM or data-intensive workloads in production
- Helm
- GitOps/ArgoCD
- Strong observability chops (metrics, logs, tracing)
Extracted from the job description · kept up to date automatically
Who this suits
This role suits senior backend engineers with over five years of experience who are highly proficient in Python, TypeScript, AWS, GCP, and Kubernetes. It is less ideal for those who lack experience with infrastructure-as-code, distributed systems, or managing diverse database types.
Full job description
Original listing · kept for referenceAbout Us We're a stealth-mode startup backed by Team8 and founded by AI industry leaders. We are building the full-lifecycle trust platform for AI agents — delivering world-class evaluation, guardrails, synthetic data, and continuous optimization. We're at the forefront of a new engineering discipline, and we're building an exceptional team to match. About the Role We're looking for a senior backend engineer who thrives on hard, high-leverage problems and owns them end-to-end. Our platform is cloud-native and moving fast, and the challenges we'll point you at are varied — from making our products run in the world's most demanding enterprise environments, to architecting new backend systems, to whatever the next big unlock turns out to be. You're versatile, deeply technical, and equally comfortable going wide across the stack or deep into a gnarly problem. Wherever we send you, you make it run right — and build it so it keeps running. This is work that directly unlocks our biggest opportunities. In This Role You'll • Take cloud-native products (like our vibe-training engine) and make them run anywhere — on-prem, air-gapped, and locked-down enterprise environments • Architect backend services and deployment topologies that work seamlessly across GCP, AWS, and on-prem • Design clean, maintainable systems — strong abstractions, reusable components, code other engineers love to build on • Own the infra stack end-to-end: Kubernetes, Terraform/IaC, networking, storage, and databases • Be the team's tooling obsessive — reach for (or build) the right tool that makes everyone faster • Work hand-in-hand with AI researchers, frontend, and infra engineers to bring new capabilities to life
Requirements: What You Bring Must have: • 5+ years of backend engineering on large-scale production systems real users depend on • Strong in Python and TypeScript • Deep cloud expertise across GCP and AWS, and comfort working with multiple service providers • Kubernetes, modern deployment pipelines, and Terraform / IaC • Solid grasp of networking, operating systems, and distributed-systems fundamentals • Hands-on with a range of databases (relational, NoSQL, vector) and a sharp instinct for which to use when • Track record of clean system/code design and shipping features end-to-end • "Can-do" approach — you've solved hard problems and know how to figure things out Bonus points: • Experience deploying in on-prem / air-gapped / regulated environments (security & compliance teams in the room) • Experience running ML/LLM or data-intensive workloads in production • Helm, GitOps/ArgoCD, and strong observability chops (metrics, logs, tracing)
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- On-site
- 5+ years of backend engineering on large-scale production systems, Python, TypeScript, GCP, AWS