DevOps Engineer

At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.

Our work is about more than just AI-it’s about building the future through collaboration and innovation.

We believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.

Join the Mission at TeamStation AI!

Where do we come from?

We are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.

Responsibilities

• Build new data processing systems and improve the functionality of existing systems
• Continue to build and refine our modern DevOps toolchain and infrastructure platform utilizing open source and best-in-breed commercial technologies
• Manage our CI/CD process
• Collaborate across teams to improve the build, integration & release process
• Develop back-end components to improve responsiveness and overall performance
• Support our other engineering team members as they integrate user-facing elements into applications
• Identify opportunities to implement solutions to further automate platform builds and processes and otherwise improve the functionality of existing systems
• Implement security and data protection solutions
• Coordinate with internal teams to understand user requirements and provide technical solutions
• Test and debug programs
• Implement security and data protection solutions

Must have:

• 3+ years of experience as a DevOps Engineer working with cloud technology (it could be any cloud AWS, Azure, or Google)
• Code management tools
• Git Hub

Nice to have:

• Experience with any scripting language.
• Experience with Docker, Kubernetes, etc. is an advantage.