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).