AI Infrastructure Platform Engineer

Experience and Skills

Senior-level experience with 5+ years in infrastructure, platform engineering, DevOps, or SRE.

C1 English level or higher.

Production experience with AWS and Azure, including networking, IAM, compute, storage, and security.

Strong Kubernetes, Docker, Terraform, CI/CD, Linux, Bash, LLM tooling, and networking experience.

Experience administering infrastructure through CLI-first workflows and operating production platforms safely.

Hands-on experience with Active Directory, Microsoft Entra ID, Windows Server, Python, PowerShell, Ansible, Disaster Recovery, Backup, RBAC, DNS, VPN, PKI, AWS Landing Zones, Azure Landing Zones, Observability, Secrets Management, Incident Response, Solid, Claude.

Skills

Kubernetes

Terraform

AWS

Azure

Linux

Bash

Docker

CI/CD

LLM Tooling

Networking

Active Directory

Microsoft Entra ID

Windows Server

Python

PowerShell

Ansible

Disaster Recovery

Backup

IAM

RBAC

DNS

VPN

PKI

AWS Landing Zones

Azure Landing Zones

Observability

Secrets Management

Incident Response

Solid

LLM

Claude

Key Responsibilities

Own platform components end to end, including Terraform modules, Kubernetes capabilities, cloud patterns, CI/CD templates, and provisioning workflows.

Design, build, and operate AWS and Azure environments, including landing zones, hybrid networking, IAM, compute, storage, migrations, and cost optimization.

Manage hybrid identity and server estates across Active Directory, Microsoft Entra ID, Windows Server, Linux, and virtualization platforms.

Design and operate backup and disaster recovery capabilities, including immutable copies, restore testing, recovery objectives, disaster recovery exercises, and audit evidence.

Build secure self-service infrastructure workflows, APIs, CLIs, and agent-accessible interfaces for provisioning servers, accounts, network access, and backups.

Implement observability, guardrails, secrets hygiene, least-privilege access, audit trails, drift detection, and automated validation.

Troubleshoot cloud, server, network, identity, storage, and Kubernetes issues. Participate in incident response, on-call support, and blameless post-incident reviews.

Document architecture, runbooks, disaster recovery plans, and operational procedures for human engineers and AI agents.

Nice to Have

GitOps

ArgoCD

FluxCD

Helm

OPA

Conftest

API Design

MCP Integration

Observability

Bicep

ARM Templates

Packer

Azure Policy

AWS Config

Policy as Code

EKS

AKS

Internal Developer Tools

OpenTelemetry

CKA

CKAD

Terraform Associate

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

We are looking for a Senior AI Infrastructure Platform Engineer to build and operate the infrastructure platforms that support products, engineering teams, and AI agents. You will own platform capabilities across AWS, Azure, hybrid identity, Windows and Linux estates, Kubernetes, and backup and disaster recovery. You will create secure, self-service infrastructure workflows that reduce manual bottlenecks and enable engineers and AI agents to provision and manage resources safely. This role requires strong technical ownership,