AI Summary
Concentrate AI is hiring a dedicated platform engineer to own production infrastructure, reliability, and security. The role involves designing and operating a secure, resilient, multi-cloud platform and ensuring safe releases, fast rollbacks, and strong observability. The ideal candidate has 8+ years of experience in platform / infra / SRE / DevOps and a proven track record of running large-scale distributed systems.
Key Highlights
Own production infrastructure, reliability, and security
Design and operate a secure, resilient, multi-cloud platform
Ensure safe releases, fast rollbacks, and strong observability
Key Responsibilities
Own production infrastructure, reliability, and security
Design and operate a secure, resilient, multi-cloud platform
Ensure safe releases, fast rollbacks, and strong observability
Technical Skills Required
Benefits & Perks
Base + bonus + meaningful equity
Fully remote work
8+ years of experience in platform / infra / SRE / DevOps
Nice to Have
Active open-source contributor
Job Description
Concentrate AI provides a unified, OpenAI-compatible API to access, route, and manage LLMs. We save our customers time, cut costs, and reduce risk. We sit in the hot path of high-volume AI traffic and logs.
We’re seed stage, well-funded, and in stealth. We’re hiring our first dedicated platform engineer. This role is fully remote.
This is a small, founder-led team where you’ll work directly with the CTO on core technical decisions in an environment that values thoughtful debate, strong ownership, and how you reason through choices.
The Role
You will own production infrastructure, reliability, and security. Your job is to make the platform secure, scalable, and reliable as usage grows fast. Going zero to one excites you and you are not afraid to explain your decisions.
Key Areas of Ownership:
- Platform Architecture: Design and operate a secure, resilient, multi-cloud platform, making and defending architectural choices as the system scales
- Reliability & Scale: Operate high-throughput distributed systems; define SLOs, capacity models, and cost controls
- Hands-on Engineering: Write and maintain production code, tooling, and automation with a strong focus on performance, reliability, and correctness.
- Deployments & Incidents: Ensure safe releases, fast rollbacks, strong observability, and effective incident response
- Security & Compliance: Infrastructure ownership for SOC 2 and similar regimes (access controls, isolation, encryption, auditability)
- Developer Velocity: Improve the local-to-prod experience to unlock engineering speed
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Tech Stack
- Cloud: AWS (primary), GCP, Azure
- Infrastructure & Orchestration: Kubernetes, Terraform, Docker, Helm
- CI/CD & Operations: GitLab, GitOps-style deployment workflows
- Data & Caching: PostgreSQL, Redis
- Observability & On-Call: Prometheus, Grafana, PagerDuty
- Backend: Node.js / TypeScript
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- 8+ years in platform / infra / SRE / DevOps
- Has run large-scale distributed systems (high traffic, large data)
- Proven backend engineering experience (e.g. TypeScript/Node.js) beyond IaC, with the ability to debug issues end to end (from application logic to networking).
- Experience in early-stage startups (or founder background); comfortable with speed
- Comfortability debating decisions and tradeoffs
- Deep expertise in networking fundamentals
- Experience in regulated or uptime-critical domains (finance, healthcare, logistics, etc.)
- Strong async communication skills (Slack, written updates, design docs)
- Fluent written and verbal English required for documentation, incident response, and technical and business presentations.
- Bonus: active open-source contributor
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