Senior Java Developer - Algorithm / Data Structure

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).

ref : hirist.tech)

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