Job Description

Roles & 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.

Desired Candidate Profile

• 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).