Senior Java Engineer

Discover the Responsibilities As a Java Engineer, you will move completely away from standard, basic CRUD applications to take massive ownership over our core data processing engine. You will be responsible for building resilient, low-latency backend systems that scale seamlessly. High-Throughput Backend Architecture: Architect, design, and implement resilient, ultra-low-latency backend applications and microservices using Core Java to process real-time data streaming and complex analytics pipelines. System Optimization & Concurrency: Performance-tune server-side applications, mastering memory management, multithreading, and asynchronous programming to eliminate processing bottlenecks and maximize throughput. API & Integration Engineering: Design and deploy robust, secure RESTful APIs and modern communication protocols to facilitate high-speed data integration across distributed cloud and on-premise platforms. Data Infrastructure Scaling: Collaborate with data teams to optimize relational and non-relational database scripts, ensuring seamless storage, aggregation, and lightning- fast retrieval of multi-relational data. Clean Code & Delivery Assurance: Champion engineering excellence by writing clean, highly testable code, maintaining comprehensive unit/integration test suites, and driving robust CI/CD deployment cycles. Cross-Functional Collaboration: Partner closely with front-end engineers, product managers, and system architects to translate complex operational workflows into highly intuitive, scalable software features.

Desired Candidate Profile

Discover the Requirements Experience: 4+ years of deep backend software engineering experience, with a proven track record of shipping production-grade applications. Core Technical Stack: Absolute mastery of Core Java (advanced features, memory management, and JVM tuning) and modern framework ecosystems (Spring Boot / Microservices). Data & Streaming: Strong working knowledge of high-volume data streaming (e.g., Kafka, Flink) and complex SQL/NoSQL database optimization. Cloud & DevOps: Familiarity with containerized deployments (Docker, Kubernetes) and cloud-native infrastructure (AWS, Azure, or GCP). Mindset: A product-builder archetype with strong analytical logic, a passion for low- latency optimization, and the agility to thrive in a high-velocity startup environment.