Senior Java Software Engineer

JD:- Role: Backend Developer

Skills: Java, Data structures, Algorithms, Microservices, java collection, Generics Springboot, System architecture, Kafka, Kubernetes, Lambda

We are looking for a highly experienced and technically strong Senior Java Developer who brings a unique blend of architectural thinking and hands-on coding expertise. This role is ideal for candidates who are passionate about high-performance backend systems, microservices architecture, and writing clean, optimized code using modern Java, Spring Boot, and associated cloud-native technologies.

As a key individual contributor, you will be responsible for end-to-end technical ownership — from architecture and design decisions to core backend development and performance optimization in large-scale distributed systems.

Key Responsibilities:

• Design, develop, and maintain highly scalable and robust Java-based microservices using Spring Boot.
• Take full ownership of system architecture, design patterns, and end-to-end design decisions.
• Write high-performance code applying advanced data structures and algorithms for real-world large data challenges.
• Design and implement caching strategies and low-latency data pipelines using Redis.
• Develop and deploy containerized services using Docker and orchestrate them via Kubernetes.
• Lead the technical direction on projects including system design, database schema design, and performance tuning.
• Collaborate with product teams and other engineers to convert product requirements into scalable, production-ready solutions.
• Conduct thorough code reviews, enforce best coding practices, and mentor junior developers where applicable (without people management responsibilities).

Required Skills:

• Strong core Java (8/11/17) development experience with advanced knowledge of the JVM.
• In-depth understanding of data structures and algorithms and their application in backend development.
• Expertise in Spring Boot, Spring Cloud, and building production-grade microservices.
• Practical experience in system architecture, design patterns (Factory, Singleton, Observer, etc.), and architectural principles (SOLID, DDD).
• Hands-on experience with Redis for caching and performance optimization.
• Proficiency in Docker and deploying applications on Kubernetes clusters.
• Strong database skills: experience with both SQL (PostgreSQL/MySQL) and familiarity with NoSQL solutions.
• Exposure to distributed systems, message brokers (Kafka/RabbitMQ), and event-driven architecture.
• Experience working in high-throughput, low-latency environments with a focus on performance tuning.
• Proven ability to work independently in a fast-paced environment and take technical ownership of features and modules.

Preferred/Good to Have:

• Experience with cloud platforms (AWS, GCP, or Azure).
• Exposure to observability tools (Prometheus, Grafana, ELK Stack).
• Familiarity with CI/CD pipelines and DevOps best practices.
• Exposure to load testing and system resilience strategies (rate limiting, circuit breakers).