Automation Engineer (DevOps & JAVA focus)

We are looking for a versatile Engineer to join the IMW team. Your journey will start with a strong focus on DevOps excellence - supporting us in transforming and automating our software delivery processes. As our CI/CD pipelines stabilize, your role will evolve. You will expand your scope into active product development , creating a hybrid role that combines infrastructure automation with JAVA backend programming.

You will be responsible for: * Driving the automation of software delivery (CI/CD) and infrastructure. * Writing and maintaining infrastructure as code (Ansible/Scripts). * Gradually taking ownership of changes in JAVA component within the IMW backend. * Collaborating with the development team to ensure system scalability and quality. * Leveraging modern AI tools to accelerate coding and documentation.

In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way.

Also, to reward your hard work you’ll get:

• Competitive salary package
• Private medical & dental coverage
• Employee Pension Plan
• Life insurance
• Employee Stock Purchase Plan
• Flexible working hours
• Strong collaborative culture
• Comfortable work conditions (high-class offices, parking space)
• Access to wellness facilities and integration events as well as training and broad
• Development opportunities
• Full access to paid licenses for GitHub Copilot, and Gemini Pro to support your daily workflow

DevOps / Automation:

• Minimum 4+ years of experience in a DevOps, SRE, or Software Engineering role.
• Strong expertise in CI/CD tools (specifically Jenkins ) and pipeline management.
• Practical knowledge of Ansible (Infrastructure as Code).
• Strong scripting skills in Python, Bash, or PowerShell .
• Familiarity with containerization (Docker) and orchestration concepts.
• Nice to have: Experience with AWS cloud technologies.

Software Development:

• Solid knowledge of JAVA (ability to read, debug, and write code).
• Understanding of Windows OS internals.
• Openness to working in a hybrid model ( Code + Ops ).

Modern Tooling:

• Practical experience with AI coding assistants (e.g., GitHub Copilot, Cursor, Gemini) to speed up refactoring and documentation.