Senior Java Backend Engineer (Cloud & Distributes Systems)

Job Description

We are looking for a visionary Senior Java Developer to spearhead the development of high-throughput, cloud-native backend systems. In this role, you will go beyond simple coding to architect resilient microservices, design event-driven data pipelines using Kafka, and implement advanced caching strategies to ensure sub-second latency for millions of users. You will serve as a technical leader, bridging the gap between business requirements and scalable technical execution. KEY RESPONSIBILITIES 1. System Architecture & Development * Microservices Mastery: Design and implement loosely coupled, scalable microservices using Java 17/21 and Spring Boot 3.x. * Event-Driven Design: Architect real-time data streaming solutions using Apache Kafka, focusing on producers, consumers, and KStream applications for eventual consistency. * API Excellence: Develop secure, high-performance RESTful and GraphQL APIs with advanced documentation (Swagger/OpenAPI) and security (OAuth2/JWT). 2. Cloud & Infrastructure Strategy Cloud-Native Migration: Lead the transition of legacy monolithic systems to cloud providers like AWS, Azure, or GCP using serverless (Lambda/Functions) and containerized services. Orchestration & Scale: Manage containerized environments using Docker and Kubernetes (EKS/GKE) to ensure high availability and auto-scaling. 3. Data Persistence & Performance Tuning Polyglot Persistence: Manage complex data models across relational (PostgreSQL, Oracle) and NoSQL (MongoDB, Cassandra) databases. Distributed Caching: Implement multi-level caching strategies using Redis or Memcached to optimize hot-path data retrieval and reduce database load. Query Optimization: Fine-tune complex SQL, JPA/Hibernate mappings, and database indexes for peak performance. 4. Leadership & Engineering Excellence Mentorship: Lead code reviews and technical grooming sessions to foster a culture of quality and professional growth within the engineering team. DevOps Integration: Drive CI/CD maturity by automating build, test, and deployment pipelines using Jenkins, GitHub Actions, or GitLab CI. 5. Detailed Technical Stack & Requirements Strong experience with Java (11 / 17 / 21) including advanced concepts such as multithreading, concurrency, streams, and virtual threads Hands-on experience with Spring ecosystem including Spring Boot, Spring Security, Spring Data, Spring Cloud, and WebFlux Experience working with messaging systems such as Apache Kafka, RabbitMQ, or AWS SQS / SNS Good exposure to cloud platforms such as AWS (EC2, S3, RDS, Lambda), Microsoft Azure, or Google Cloud Platform Experience with caching technologies like Redis, Ehcache, or Hazelcast Familiarity with DevOps and build tools including Docker, Kubernetes, Terraform, Maven / Gradle, and Git Strong knowledge of databases, both relational and NoSQL, such as PostgreSQL, MySQL, Oracle, MongoDB, or Cassandra Experience with observability and monitoring tools such as ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana Experience with testing frameworks including JUnit 5, Mockito, Testcontainers, and Cucumber (BDD) REQUIRED QUALIFICATIONS Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. Core Experience: 7–10+ years of professional backend development with a heavy focus on the Java ecosystem. Distributed Systems: Proven experience building systems that handle high traffic, focusing on fault tolerance and concurrency. Security Mindset: Deep understanding of OWASP Top 10, data encryption, and secure authentication flows. Agile Proficiency: Extensive experience working in Scrum/Kanban environments, including sprint planning and effort estimation. Preferred Skills (Bonus) Experience with Reactive Programming(Project Reactor) or Java 21 Virtual Threads. Contributions to open-source projects or active participation in the Java developer community. Certifications such as AWS Certified Solutions Architect or Oracle Certified Professional (OCP). Soft Skills Strategic Thinking: Ability to evaluate technical trade-offs (e.g., Latency vs. Consistency). Effective Communication: Capable of explaining complex technical concepts to non-technical stakeholders and leadership. Problem-Solving: Disciplined approach to troubleshooting production incidents and root cause analysis.*