Senior Spark developer

Location
- Remote

Employment Type: Full-Time

We are seeking a highly skilled Senior Spark Developer with strong expertise in Java, cloud-native application development, and distributed systems. The ideal candidate will have extensive experience designing and developing scalable enterprise applications using Java, Spring technologies, microservices architecture, and cloud platforms, with a preference for Google Cloud Platform (GCP).

As a Senior Java Developer, you will work closely with cross-functional teams to build high-performance applications, drive technical excellence, and contribute to architectural decisions across complex projects.

• Design, develop, and maintain scalable, high-performance Java applications.
• Build and support RESTful APIs and microservices-based solutions.
• Develop cloud-native applications leveraging GCP, AWS, or Azure services.
• Implement event-driven architectures and distributed systems.
• Collaborate with architects, product owners, and engineering teams to deliver high-quality solutions.
• Optimize application performance, concurrency handling, and memory utilization.
• Create and maintain CI/CD pipelines and automate deployment processes.
• Ensure code quality through unit testing, code reviews, and best development practices.
• Mentor junior developers and promote engineering excellence across teams.

• Strong experience with Core Java (JDK 8+) including concurrency, multithreading, and memory management.
• Hands-on experience with Spring Boot, Spring Cloud, and Hibernate/JPA
  .
• Expertise in Microservices Architecture
  , REST APIs
  , and Design Patterns
  .
• Strong SQL skills with databases such as MySQL and PostgreSQL
  .
• Experience with containerization and orchestration technologies including Docker and Kubernetes
  .
• Knowledge of CI/CD pipelines and Dev Ops practices.
• Experience working with cloud platforms such as GCP
  , AWS
  , or Azure
  .
• Proficiency with build tools such as Maven or Gradle
  .
• Experience with testing frameworks including JUnit and Mockito
  .

• Experience with Apache Spark and large-scale data processing.
• Familiarity with distributed computing and cloud-based analytics solutions.
• Experience in agile software development environments.
• Knowledge of security, scalability, and performance optimization best practices.

• Excellent communication and stakeholder management skills.
• Strong leadership and mentoring capabilities.
• Passion for code quality, best practices, and continuous improvement.
• Ability to work collaboratively in a fast-paced environment.

• Opportunity to work on innovative, large-scale enterprise applications.
• Exposure to modern cloud technologies and microservices architecture.
• Collaborative and technology-driven work environment.
• Opportunity to influence architecture and engineering best practices.