Senior Java Developer

OmegaHires

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software development with a focus on Core Java and Spring Boot.
  • Expertise in multithreading, collections, and JVM performance tuning.
  • Proficiency in writing clean, scalable, and secure enterprise-grade code.
  • Familiarity with Kafka and REST APIs, with an advantage for knowledge of Docker and Kubernetes.
  • Understanding of cloud-native principles and hands-on experience with SQL/NoSQL databases, particularly PostgreSQL and MongoDB.
  • Awareness of modern AI concepts, including LLMs and vector databases.

Responsibilities

  • Develop and maintain enterprise-grade applications using Core Java and Spring Boot.
  • Design and implement microservices architecture ensuring scalability and resilience.
  • Integrate cloud-native principles in backend design and optimize database performance.
  • Create and manage secure APIs, adhering to an API-first architecture.
  • Incorporate AI capabilities into applications while ensuring data security and ethics.

Benefits

  • Flexible work arrangements to support work-life balance.
  • Access to ongoing professional development and training programs.
  • Opportunities for innovation in AI integration within products.
  • Collaboration with a dynamic and skilled team in a supportive environment.
Full Job Description
  • Core Java Expertise
  • Strong in Core Java, multithreading, collections, JVM concepts, and performance tuning
  • Ability to write clean, scalable, and secure enterprise-grade code
  • Kotlin knowledge is an added advantage for modern backend development
  • Tech Stack: Java 17+, Kotlin, Maven/Gradle, JUnit
  • 2. Spring Boot & Microservices
  • Strong hands-on experience with Spring Boot frameworks and microservices architecture
  • Knowledge of distributed systems, resiliency patterns, and event-driven architecture
  • Ability to design scalable and loosely coupled services
  • Key Skills: REST APIs, Kafka,
  • Good to have: Circuit Breaker, Saga, Docker, Kubernetes
  • 3. Cloud-Native & Database Engineering
  • Understanding of cloud-native principles and scalable backend design
  • Hands-on experience with SQL and NoSQL databases
  • Strong in database design patterns, performance optimization, caching, and scalability
  • Tech Stack: PostgreSQL, MongoDB, Redis
  • 4. AI Ecosystem Knowledge
  • Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases
  • Ability to integrate AI capabilities into enterprise applications securely and responsibly
  • Good Skills to have: LangChain, Prompt Engineering, Semantic Search
  • 5. API Strategy & Enterprise Integration
  • Strong understanding of API-first architecture and enterprise integration patterns
  • Ability to design secure, reusable, and scalable APIs with proper governance

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