Senior AI Infrastructure Platform Engineer (Remote, LATAM)

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

At Niuro, we're hiring a Senior AI Infrastructure Platform Engineer for a US B2B company. 100% remote from LATAM, full time, long term.

Think of this role as the developer's favorite developer: your customers are the engineers, and the platform you build is the product they use to ship safely without waiting on anyone. Some of those customers are AI agents.

What you'll do

• 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.

What you bring

• 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.

Nice to have: GitOps (ArgoCD, FluxCD), Helm, OPA/Conftest, API design, MCP integrations, observability stacks.