Java Engineer; Kubernetes & Databricks

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We are seeking a skilled Java Engineer with hands‑on experience in Kubernetes and Databricks to design, build, and optimize secure, scalable data and application services. In this role, you will develop high‑quality Java microservices, deploy and manage containerized applications in Kubernetes environments, and support data engineering workflows leveraging Databricks. You will collaborate with cross‑functional teams to improve system performance, automate deployments, and ensure reliability across cloud and distributed systems.

• Design and develop Java‑based microservices and backend components.
• Build, deploy, and manage containerized applications using Kubernetes.
• Develop and optimize data pipelines and workflows using Databricks.
• Integrate microservices with cloud data sources, APIs, and distributed systems.
• Implement CI/CD pipelines to automate testing, deployment, and monitoring.
• Work closely with Dev Ops, Data Engineering, and Architecture teams to ensure scalable, secure solutions.
• Troubleshoot production issues, enhance system reliability, and optimize performance.
• Ensure code quality, documentation, and adherence to engineering best practices.

• Strong proficiency in Java and Spring ecosystem (Spring Boot preferred).
• Hands‑on experience with Kubernetes (AKS, EKS, GKE, or on‑prem).
• Experience developing or supporting Databricks workflows, notebooks, or pipelines.
• Familiarity with distributed systems, cloud services, and data engineering concepts.
• Experience with CI/CD tools (Jenkins, Git Hub Actions, Azure Dev Ops, etc.).
• Understanding of Docker, containerization, and microservices architecture.
• Strong problem‑solving and collaboration skills.

Director

Full‑time

Information Technology