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.

Experience- 7+ Years

Location- Dubai (Onsite)

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).

Skills

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).