Senior AI Infra Platform Engineer - Remote

Findjobit; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Niuro is hiring a Senior AI Infrastructure Platform Engineer for a US B2B company. The role is 100% remote from LATAM, full-time and long-term, with customers including engineers who use the platform to ship safely.

You will own Terraform modules, Kubernetes capabilities, cloud patterns, and CI/CD workflows, building self-service tools and maintaining observability. You will implement guardrails and audit trails, write runbooks, and drive adoption across teams.

Qualifications

• 5+ years in platform engineering, DevOps or SRE.
• Strong hands-on Kubernetes, containers and AWS and/or Azure.
• Deep Terraform: module design and CI/CD integration.
• Solid Linux and CLI fluency: bash/zsh, SSH, DNS, routing, network diagnostics.
• Daily use of LLM dev tools (Claude Code, Gemini CLI or similar) in your engineering workflow.
• C1 English or higher.

Responsibilities

• Own platform components end to end: Terraform modules, Kubernetes capabilities, cloud patterns and CI/CD workflows.
• Build self-service infrastructure and internal developer tools (APIs, CLIs, agent-accessible interfaces) that remove manual bottlenecks.
• Make the platform observable and feedback-rich, so automated systems can self-correct and teams can see what is happening.
• Implement guardrails, secrets hygiene and audit trails that hold up at scale.
• Write docs and runbooks for both human developers and AI agent operations, and drive adoption across teams.

Skills

Platform engineering

DevOps

SRE

Kubernetes

Terraform

AWS/Azure

Linux CLI

English (C1)

LLM tooling

Tools

Kubernetes

Terraform

AWS

Azure

CI/CD

Job description

Niuro is hiring a Senior AI Infrastructure Platform Engineer for a US B2B company. The role is 100% remote from LATAM, full-time and long-term, with customers including engineers who use the platform to ship safely.

You will own Terraform modules, Kubernetes capabilities, cloud patterns, and CI/CD workflows, building self-service tools and maintaining observability. You will implement guardrails and audit trails, write runbooks, and drive adoption across teams.