Platform / DevOps Engineer Data & MLOps

Overview

About the job:

The RoleThis 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.The role is hands-on and execution-driven, with an emphasis on automation, performance, and continuously improving how systems are built and run.
What Youll Work OnBuilding and managing cloud infrastructure (GCP/AWS) for scalable, production systemsDesigning and maintaining CI/CD pipelines and automated deployment workflowsImplementing 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 optimizationWorking closely with engineering teams to ensure smooth deployment and system stability
What Were Looking ForAt least 4 years of experience across DevOps, Platform Engineering, or similar rolesStrong hands-on exposure to cloud environments (GCP preferred).Experience working with CI/CD pipelines, infrastructure as code, and microservices-based systemsFamiliarity with data pipelines or distributed systems, or the ability to ramp up quicklyA mindset focused on automation, efficiency, and improving existing systemsComfort operating in fast-paced environments where priorities evolveAbility to work across multiple layers of the stack when required
Whats in It for YouWork on problems involving complex data, scale, and real-time systems, not typical infrastructure workOwn and shape core infrastructure and platform systems from an early stageOperate in a high-ownership environment where your decisions directly impact system performance and scalabilityCollaborate closely with engineering and data teams to build robust, production-grade systemsBe part of a team that values speed, learning, and practical execution over process-heavy environments

Who can apply:

Only those candidates can apply who:

1. have minimum 3 years of experience
2. are Computer Science Engineering students

Salary:

Competitive salary

Experience:

3 year(s)

Deadline:

2026-09-20 23:59:59