Java Big Data Engineer — Azure, Spark & Kubernetes

EPAM Systems; Kraków; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid by design mode

Remote work within Poland

Relocation opportunities

Job summary

EPAM Systems, Inc. seeks a Java Developer with Big Data expertise to join a MS Azure-based platform for valuation and risk management. You will develop Spark-based data solutions and production systems in Java/Scala, build CI/CD pipelines with GitLab, and containerize workloads with Docker and Kubernetes.

The role blends cloud engineering with data processing in a hybrid office setup in Kraków. Hybrid by design, this position offers collaboration across Front Office, Finance, and Risk,

Qualifications

• 2+ years of experience in software development with big data technologies.
• Expertise in Apache Spark for big data processing.
• Proficiency in Java and Scala for building complex production systems.
• Background in platform engineering on a major cloud provider (Azure).
• Experience building and operating CI/CD pipelines (GitLab).
• Hands-on experience with Docker and Kubernetes.
• English proficiency at Upper-Intermediate (B2) or higher.

Responsibilities

• Develop and maintain big data solutions using Apache Spark.
• Program complex production systems leveraging Java and Scala.
• Contribute to platform engineering initiatives on Azure cloud infrastructure.
• Build, maintain, and enhance CI/CD pipelines using GitLab.
• Implement containerization strategies across development, build, and runtime environments.
• Deploy and orchestrate containerized workloads with Kubernetes.
• Collaborate with Front Office, Finance, and Risk teams to deliver platform capabilities.
• Ensure scalability, performance, and cost-efficiency of cloud PaaS components.
• Participate in architectural discussions and influence key technical decisions.

Job description

EPAM Systems, Inc. seeks a Java Developer with Big Data expertise to join a MS Azure-based platform for valuation and risk management. You will develop Spark-based data solutions and production systems in Java/Scala, build CI/CD pipelines with GitLab, and containerize workloads with Docker and Kubernetes.

The role blends cloud engineering with data processing in a hybrid office setup in Kraków. Hybrid by design, this position offers collaboration across Front Office, Finance, and Risk,