Senior Java Software Engineer

We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices.

As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You’ll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals.

Key Responsibilities

• Design, implement, debug, and deploy Java-based applications across the full SDLC.  
• Collaborate with cross-functional teams to develop robust, maintainable solutions.
• Contribute to technical design and architectural decisions using modern best practices.
• Maintain high code quality through unit testing and clean code principles.
• Support configuration, build automation, deployment, and continuous integration.
• Mentor junior developers and actively contribute to a culture of technical excellence.
• Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable.
• Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making.
• Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows.

Required Skills

• Programming & Frameworks:

Java, Spring Boot, Angular, Node.js, OOP, Design Patterns

• Web Technologies:

JavaScript (Basics, AJAX), REST & SOAP Web Services

• Database & ORM:

Native SQL, Oracle, MySQL, Database Design, ERD, JPA, Hibernate

• Search & Messaging:

Apache Solr, Elasticsearch, Kafka

• Build & Deployment:

Maven, CI/CD, Deployment Automation

• Testing & Quality:

Unit Testing (Junit, TestNG), TDD, Clean Code Practices

• Application Servers:

Apache Tomcat, WebLogic, JBoss, WebSphere, GlassFish, OC4J

• Tools & Configuration:

Git, Configuration Management, JIRA, XML (XSD, DTD)

• Security:

Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities

• Generative AI & Intelligent Automation:
• Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications.
• Understanding of vector databases (e.g., Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval.
• Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance.
• Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs.

Preferred Skills

• Big Data & NoSQL:
  Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase
• Containers & DevOps:
  Docker, Kubernetes
• Other:
  Security Best Practices, AOP (Aspect-Oriented Programming)