DevOps Engineer

About the role

ElectroNeek is looking for a DevOps Engineer with an AI‑first mindset to own and evolve its cloud infrastructure, deployments, and operational reliability. You will work on a platform that runs over 1 million workflow executions each month for enterprise customers such as Xerox and 7‑Eleven.

Key responsibilities

• Build AI‑agent‑powered operations using Claude, Cursor, Codex and autonomous workflows.
• Design, provision (Terraform) and maintain AWS and Azure infrastructure, ensuring reliability, security and cost efficiency.
• Create and manage CI/CD pipelines that safely ship code across environments.
• Monitor production health, set up logging, alerting and respond quickly to incidents.
• Configure and maintain VPN, access management and internal tooling.
• Partner with developers to accelerate delivery and improve deployment processes.
• Maintain configuration standards and up‑to‑date infrastructure documentation.
• Identify inefficiencies and deliver improvements in automation, cost, and security.

Required profile

• AI‑first mindset: daily use of Claude, Cursor, Codex or similar, with a demonstrable LLM‑powered automation project.
• Strong Linux (Ubuntu) administration and shell scripting (Bash, PowerShell).
• Hands‑on experience with AWS, Azure, Kubernetes + Helm, Docker/Docker Swarm.
• Proficiency in Terraform, GitLab CI/CD, Nginx.
• Experience with monitoring/logging stacks such as Zabbix and Grafana.
• Familiarity with MongoDB and/or ClickHouse.
• VPN configuration and access‑management expertise.
• Comfortable with Jira and Git workflows.

Required skills

• Claude
• Cursor
• Codex
• Linux (Ubuntu)
• Bash
• PowerShell
• AWS
• Azure
• Kubernetes
• Helm
• Docker
• Docker Swarm
• Terraform
• GitLab CI/CD
• Nginx
• Zabbix
• Grafana
• MongoDB
• ClickHouse
• VPN
• Jira
• Git

What we offer

• Work on real‑scale production handling millions of workflow runs monthly.
• Full‑time remote role with hours aligned to EST.
• Opportunity to shape AI‑driven operations on a blank canvas.
• Exposure to a fast‑growing Y Combinator‑backed startup.