DevOps Engineer (AI-Enabled DevOps)- Chennai India or Remote

Location: Chennai, India preferred | Remote possible
Experience: 3–8 years


Role Overview

Mirabilis Design is looking for a DevOps Engineer with a strong traditional DevOps background and hands-on exposure to AI-based DevOps practices (AIOps).

This role focuses on building, improving, and automating the development, testing, release, and delivery infrastructure for VisualSim, while introducing AI-driven automation to reduce manual effort and improve reliability.


Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines
  • Manage source control, branching, and release workflows using GitHub
  • Automate build, test, packaging, and release processes
  • Improve test automation, failure analysis, and release reliability
  • Introduce AI-based DevOps techniques, such as:
    • Intelligent test selection
    • Failure pattern analysis
    • Log analysis and anomaly detection
    • Automated release summaries
  • Work closely with engineering teams to support development workflows
  • Improve software delivery and customer release processes
  • Document DevOps processes and best practices

Required Skills & Experience

✅ Core DevOps (Mandatory)

  • Strong experience with:
    • GitHub and version control workflows
    • CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or similar)
    • Linux-based development environments
  • Experience supporting engineering or product development teams
  • Scripting experience (Python, Bash, or similar)
  • Understanding of build systems, test automation, and release management

🤖 AI-Based DevOps (Required)

  • Experience applying AI or ML techniques to DevOps workflows, such as:
    • Log analysis
    • Failure prediction
    • Test optimization
    • Automation using LLMs or AI tools
  • Ability to identify where AI adds value, not just where it is fashionable

Nice to Have

  • Experience with cloud platforms (AWS, Azure, GCP)
  • Exposure to DevSecOps practices
  • Experience supporting complex software products
  • Familiarity with engineering or simulation tools

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