(Senior) AI DevOps Engineer (m/w/d)

Company Description Z2Data India, part of Z2Data, is an information systems company dedicated to helping enterprise organizations build more resilient and agile supply chains.

Our all-in-one platform stands out by transforming complex supply chain data into intelligent, relevant, and timely insights. From multi-sourcing components and managing BOM compliance to tracking PCNs and more, our centralized dashboard empowers teams to manage critical supply chain activities seamlessly in one place.

At the core of our supply chain risk management platform are robust, normalized, and intelligent databases—enhanced by human expertise and delivered through a flexible ecosystem powered by Artificial Intelligence (AI) and Machine Learning (ML).

If you're passionate about innovation and building smarter supply chains, we’d love to connect with you. Join us and be part of a team shaping the future of supply chain intelligence.

We are looking for a DevOps Engineer to streamline and automate the end-to-end software delivery lifecycle, including infrastructure automation, CI/CD pipelines, deployments, monitoring, and operational reliability. Our platform runs across development, staging, and production environments, using a mix of on-premise infrastructure and AWS environments (including EC2 . This role requires someone who can think in systems, automate complex infrastructure workflows, and improve operational efficiency using modern DevOps practices and AI-assisted development tools.

5+ years of experience in DevOps or Infrastructure Engineering

• Experience with CI/CD tools GitHub Actions, Jenkins, GitLab CI
• Experience with Docker Experience managing Linux servers
• Experience with AWS EC2, networking, storage)
• Experience using AI-assisted engineering tools

Experience with Kubernetes Familiarity with Terraform or Infrastructure as Code

Experience with monitoring tools Sentry, Prometheus, Grafana, ELK

Experience supporting data or AI platforms

1 Senior DevOps Engineer

Support infrastructure across on-premise servers and AWS EC2 environments.

Build and maintain CI/CD pipelines for automated builds, testing, and deployments.

Improve release reliability through automated deployment and rollback mechanisms.

Implement containerized deployments using Docker.

Support orchestration environments such as Kubernetes where applicable.

Manage infrastructure configuration and environment provisioning.

Monitoring & Reliability

Implement monitoring, logging, and alerting for infrastructure and services.

AI-Assisted DevOps

Use AI-assisted tools such as Claude, Codex, Cursor, and similar platforms to automate infrastructure tasks, debugging, and operational improvements.

Apply systems thinking and algorithmic reasoning to optimize infrastructure design and deployment processes.

Improve engineering productivity by integrating AI-driven workflows into DevOps operations.

Work closely with engineering teams to support deployments and infrastructure needs.

Help developers adopt DevOps best practices and automated workflows.