DevOps Engineer – Data & MLOps

Job Description

The Role

This role sits at the intersection of cloud infrastructure, data systems, and automation.

The focus is on building and operating the core platform that powers a data-intensive, real-time system, ensuring it is scalable, reliable, and efficient in production. This involves working across infrastructure, deployment pipelines, and distributed data workflows.

What You’ll Work On

• Building and managing cloud infrastructure (GCP/AWS) for scalable, production systems
• Designing and maintaining CI/CD pipelines and automated deployment workflows
• Implementing Infrastructure as Code (Terraform, Kubernetes, Docker)
• Supporting and optimizing data pipelines and distributed systems (e.g., Spark)
• Improving system performance, reliability, and cost efficiency through continuous optimization
• Working closely with engineering teams to ensure smooth deployment and system stability

What We’re Looking For

• At least 4 years of experience across DevOps, Platform Engineering, or similar roles
• Strong hands-on exposure to cloud environments (GCP preferred).
• Experience working with CI/CD pipelines, infrastructure as code, and microservices-based systems
• Familiarity with data pipelines or distributed systems, or the ability to ramp up quickly
• A mindset focused on automation, efficiency, and improving existing systems
• Comfort operating in fast-paced environments where priorities evolve
• Ability to work across multiple layers of the stack when required

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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