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Must-Have Skills
Core Engineering & Problem Solving
• Ability to understand unfamiliar code and large legacy systems
• Strong debugging, troubleshooting, and root-cause analysis
• Knowledge of dependency management and resolving version conflicts
• Fast learner with strong research and pattern-recognition skills
• Ability to break down large problems and know when to seek help
Technical Fundamentals
• Strong Java 8+ knowledge
• Solid understanding of Spring Framework and Hibernate/JPA concepts
• Proficiency in SQL, relational database fundamentals
• Familiarity with Gradle and build pipelines
• Solid understanding of testing concepts (JUnit, mocking, test structure)
Soft Skills
• Patience, attention to detail, and discipline
• Clear communication and comfort with ambiguity
• Risk awareness and ability to document decisions effectively
Testing Mindset
• Ability to write meaningful unit and integration tests
• Healthy skepticism—knows that “compiling” isn’t the same as “working”
AI Collaboration
• Ability to use AI tools effectively for research and guidance
• Critical thinking to validate and challenge AI outputs
Nice-to-Have Experience
• Java 11/17/21, Gradle 7/8, Spring 6, Hibernate 6, JUnit 5
• Javax → Jakarta migration experience
• Large-scale refactoring or modernization projects
• Experience with AI tools (Cursor, ChatGPT, Claude)
• Familiarity with Prophet application and Baxter internal libraries

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.