Java Software Engineer
Responsibilities
- Design, develop, and maintain scalable microservices using Java and Spring Boot.
- Build and optimize real-time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks.
- Develop robust data distribution and streaming solutions for high-throughput systems.
- Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).
- Write efficient and optimized SQL queries for relational databases.
- Integrate and manage applications in AWS cloud environments.
- Collaborate with cross‑functional teams to ensure smooth delivery and integration of features.
- Implement monitoring and observability solutions (e.g., Datadog) for system health and performance tracking.
- Maintain high standards of code quality, reliability, and security.
Primary Skills
- Strong programming skills in Java and Spring Boot.
- Hands‑on experience with Microservices architecture and RESTful APIs.
- Proficiency with Kafka and distributed streaming systems.
- Solid understanding of SQL and data modeling.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Working knowledge of Flink, Spark, or Databricks for data processing.
- Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
- Basic scripting in Python for automation or data manipulation.
Secondary Skills
- Experience with Datadog, Prometheus, or other monitoring tools.
- Exposure to CI/CD pipelines and DevOps practices.
- Knowledge of data engineering best practices and real‑time analytics.
Seniority level: Mid‑Senior level
Employment type: Contract
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