Java Spark Backend Developer
Summary
The Senior Java Backend Developer will design and maintain scalable backend systems and distributed data pipelines using Java, Spring Boot, and Apache Spark. The role involves leading code reviews, mentoring team members, and collaborating across functions to deliver high-performance applications.
We are seeking a highly skilled and experienced Senior Java Backend Developer to join our core engineering team. In this role, you will be responsible for designing, building, and maintaining high-performance, scalable, and secure backend systems.
The ideal candidate will have over 7 years of enterprise Java development experience, a strong background in big data processing using Apache Spark, and a passion for engineering excellence. While this is primarily a backend role, knowledge of Angular UI is a plus.
Key Responsibilities:
System Architecture: Design, develop, and deploy robust, scalable, and microservices-based backend systems using Java and Spring Boot.
Data Processing: Architect and optimize large-scale, distributed data processing pipelines using Apache Spark.
Database Management: Write complex SQL/NoSQL queries and optimize database performance for high-throughput applications.
API Development: Design and implement secure, well-documented RESTful APIs.
Mentorship & Code Quality: Lead code reviews, enforce best practices, and mentor junior and mid-level developers.
Cross-Functional Collaboration: Partner closely with frontend teams, product managers, and DevOps to deliver seamless end-to-end features.
Required Technical Skills & Qualifications:
Experience: 7+ years of professional software development experience primarily focused on backend engineering.
Core Java: Deep expertise in Java (Java 8/11/17+), including multithreading, concurrency, memory management, and design patterns.
Frameworks: Extensive experience with Spring Ecosystem (Spring Boot, Spring MVC, Spring Security, Spring Data).
Big Data Frameworks: Proven track record of building and tuning production-grade data pipelines using Apache Spark (Core, SQL, or Streaming).
Databases: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL solutions (e.g., MongoDB, Cassandra).
Tools & DevOps: Proficiency with Git, CI/CD pipelines (Jenkins, GitLab, or GitHub Actions), Maven/Gradle, and Docker.
Nice-to-Have Skills:
Frontend Knowledge: Familiarity or hands-on experience with Angular (TypeScript, RxJS, state management), enabling smooth full-stack collaboration.
Cloud Platforms: Experience deploying and managing applications on cloud environments (AWS, GCP, or Azure).
Container Orchestration: Knowledge of Kubernetes
Soft Skills:
Strong analytical, problem-solving, and debugging skills.
Excellent communication and collaboration skills to work effectively in an agile environment.
Proven ability to take ownership of projects from concept to deployment