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Backend Developer

Qode

Dubai

On-site

AED 120,000 - 200,000

Full time

Yesterday
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Job summary

A leading tech company in Dubai is looking for a Backend Developer with over 8 years of experience. The ideal candidate should be proficient in Java, microservices, and Spring Boot. Responsibilities include designing scalable systems and leading technical projects. Strong knowledge of caching strategies, data structures, and experience with Docker and Kubernetes are essential. The role requires a hands-on approach to back-end development and collaboration with cross-functional teams to ensure optimized solutions.

Qualifications

  • 8+ years of experience in Java development.
  • Strong understanding of data structures and algorithms.
  • Expertise in Spring Boot and microservices.

Responsibilities

  • Design and maintain scalable Java-based microservices using Spring Boot.
  • Lead technical direction on projects with a focus on performance optimization.
  • Conduct code reviews and mentor junior developers.

Skills

Java
Data structures
Algorithms
Microservices
Spring Boot
System architecture
Kafka
Kubernetes
Lambda

Tools

Docker
SQL (PostgreSQL/MySQL)
Redis
Job description

JD:-Role: Backend Developer

Experience- 8 Years

Location- Onsite Dubai

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).
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