DevOps Engineer – AI‑First Cloud Operations

About the role

ElectroNeek is looking for a DevOps Engineer with an AI‑first mindset to own and evolve its cloud infrastructure and operational reliability. You will work remotely, collaborating with developers and using large‑language‑model tools to automate routine operations.

Key responsibilities

• Build AI‑agent‑powered operational workflows using Claude, Cursor, Codex or similar tools.
• Design, provision and maintain AWS and Azure environments with Terraform, ensuring security, reliability and cost efficiency.
• Create and manage CI/CD pipelines (GitLab) that deliver code safely across environments.
• Monitor production health, set up logging and alerting, and respond quickly to incidents.
• Configure VPN, access management and internal infrastructure components.
• Partner with development teams to streamline delivery and improve deployment speed.
• Maintain up‑to‑date configuration standards and documentation.
• Identify inefficiencies in infrastructure, automation, cost and security and implement improvements.

Required profile

• Daily use of AI tools (Claude, Cursor, Codex) with a demonstrable automation project.
• Strong Linux (Ubuntu) administration and shell scripting (Bash, PowerShell).
• Hands‑on experience with AWS, Azure, Kubernetes, Helm, Docker/Docker Swarm.
• Proficiency with Terraform, GitLab CI/CD, Nginx.
• Experience with monitoring stacks such as Zabbix or Grafana.
• Familiarity with MongoDB or ClickHouse, VPN configuration, Jira and Git workflows.

Required skills

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

What we offer

• Work on a platform that processes over 1 million workflow runs per month for enterprise customers.
• Full‑time remote role with working hours aligned to EST.
• Opportunity to shape AI‑driven operational tooling from the ground up.