Java Tech Lead (Java + Python + AI) - Immediate Joiners Only
Epitria Consulting
Location
🇮🇳 Gurugram, India
Type
full_time
Salary
Undisclosed
Posted
3w ago
Job Description
We are seeking an experienced Java Technical Lead with 7+ years of hands-on development experience to lead the design and delivery of scalable enterprise applications.
The role
involves working on Capital Markets and Investment Banking solutions using Java, Spring Boot, Microservices, Python, Cloud, and AI-assisted development tools while mentoring engineering teams and driving technical excellence in an AI-first engineering environment. Our client is a technology-driven organization delivering innovative software solutions for global financial institutions. We specialize in building scalable enterprise applications using modern technologies across Capital Markets, Investment Banking, AI, and Cloud. Our teams work on challenging projects that drive digital transformation for international clients while fostering a culture of innovation, collaboration, and continuous learning. Location: Gurugram (Hybrid – 2 Days Work from Office) Experience: 7+ Years
Required Skills
7+ years of hands-on experience in Java application development.
Strong expertise in Java 8/11/17.
Hands-on experience with Spring Boot, Spring Framework, Microservices, REST APIs, and Hibernate/JPA.
Strong understanding of Object-Oriented Programming (OOP), Design Patterns, SOLID principles, and Clean Code practices.
Experience working with relational databases such as Oracle, PostgreSQL, or MySQL.
Experience with Git, Maven/Gradle, and CI/CD pipelines.
Good conceptual understanding and working knowledge of Python.
Excellent debugging, analytical, and problem-solving skills.
Experience working in Agile/Scrum environments.
Strong communication and stakeholder management skills. What You'll Learn & Gain Exposure To
Gain hands-on experience in Capital Markets and Investment Banking domain projects.
Develop an understanding of trading platforms, market data, risk management, and financial applications.
Get exposure to industry-leading financial data platforms such as Reuters and Bloomberg.
Work with enterprise-grade systems used by leading global financial institutions.
Build domain expertise while working alongside experienced engineers and subject matter experts.
Enhance your technical and business knowledge through real-world financial technology projects.
Develop enterprise applications in Java and Python using AI-assisted development tools such as GitHub Copilot, Windsurf, Cursor, Claude, ChatGPT, Gemini, and similar AI coding assistants instead of relying solely on handcrafted coding.
Learn how AI can accelerate the Software Development Life Cycle (SDLC), including code generation, refactoring, debugging, documentation, test case creation, code reviews, and engineering productivity.
Build expertise in AI-assisted software engineering while maintaining enterprise-grade standards for performance, scalability, security, and code quality.
Key Responsibilities
Lead the design, development, and delivery of scalable enterprise applications using Java technologies.
Design and develop high-performance backend applications using Java, Spring Boot, Microservices, and REST APIs.
Provide technical leadership, mentor engineering teams, and establish coding best practices.
Collaborate with Product Owners, Business Analysts, QA, DevOps, and other stakeholders to deliver high-quality software solutions.
Participate in architecture discussions, technical design, code reviews, and technology selection.
Possess a strong conceptual understanding of Python and contribute to Python-based development when required.
Leverage AI-powered development tools to improve software quality, engineering productivity, and delivery speed.
Drive AI adoption across the Software Development Life Cycle (SDLC) by automating repetitive engineering tasks and improving developer efficiency.
Continuously evaluate emerging AI technologies and recommend practical adoption within engineering teams.
Why Join Us
? • Opportunity to work on Capital Markets and Investment Banking projects. • Exposure to enterprise-scale applications used by leading global financial institutions. • Work with modern technologies including Java, Python, Microservices, Cloud, and AI-powered software engineering tools. • Hybrid work model with a collaborative and learning-focused culture. • Opportunity to work alongside experienced engineering professionals on technically challenging projects. • Continuous learning and professional growth in a fast-paced environment. • Be part of an AI-first engineering culture where developers leverage modern AI tools to enhance productivity, code quality, and software delivery.