Tata Consultancy Services (TCS) is conducting a Walk-in Drive on Saturday, 22 August 2026 for Java Spring Boot professionals with AI/GenAI exposure. This opportunity is particularly relevant for backend developers who want to combine Java, Spring Boot, Microservices, Kafka and cloud-native development with Generative AI and LLM integration.
β οΈ Important experience clarification: The hiring announcement mentions 7β12 years, while the detailed job description states 4β6 years. Candidates should verify the applicable experience range with the TCS recruitment team before attending the walk-in.
π TCS Java Spring Boot Developer β Job Details
- π’ Company: Tata Consultancy Services (TCS)
- πΌ Role: Java Spring Boot Developer with AI Integration
- π§βπ» Experience mentioned: 7β12 years in the hiring announcement; detailed JD says 4β6 years
- π Location: Gurugram, Haryana
- π’ Work Type: Walk-in Interview
- π Interview Date: Saturday, 22 August 2026
- π Venue: TCS GG7, Skyview Corporate Park, Tower B, GG7, DelhiβGurgaon Expressway, Sector 74A, Gurugram, Haryana β 122004
- π₯ Core Technologies: Java, Spring Boot, Microservices, REST APIs, Kafka, Docker
- π€ AI Technologies: OpenAI/Azure OpenAI, Prompt Engineering, RAG, Embeddings, Vector Databases
π’ About TCS
Tata Consultancy Services β Official Website
Tata Consultancy Services is a global IT services, consulting and business solutions organization and part of the Tata Group. Established in 1968, TCS works with organizations across industries and has a global delivery presence. As of June 30, 2026, TCS reported nearly 594,000 professionals, while its current strategy emphasizes becoming the world’s largest AI-led technology services company.
For Java professionals, TCS can provide exposure to large-scale enterprise applications, cloud transformation, microservices, integration platforms and increasingly AI-driven technology initiatives.
π Why This Role Is Good for Experienced Professionals
This is more than a conventional Java backend position. The role combines enterprise Java development with Generative AI integration, giving developers an opportunity to expand from traditional backend engineering into modern AI-enabled application development.
You may work on:
- πΉ Designing scalable microservices using Java and Spring Boot
- πΉ Developing secure and reusable REST APIs
- πΉ Building event-driven applications using Kafka
- πΉ Integrating OpenAI or Azure OpenAI APIs
- πΉ Implementing RAG-based applications and intelligent assistants
- πΉ Working with embeddings and vector databases
- πΉ Containerizing applications using Docker
- πΉ Supporting CI/CD and production-ready deployments
This combination can be valuable for professionals targeting future roles such as Senior Java Developer, AI Application Engineer, GenAI Engineer, Backend Lead or Solution Architect.
π§ Skills Required
Candidates should be particularly strong in:
- β Java 11/17, OOP, Collections, Streams, Exception Handling and Multithreading
- π Spring Boot, Spring MVC, Spring Data JPA/Hibernate
- π Microservices and REST API development
- π¨ Kafka and event-driven architecture
- ποΈ MySQL, PostgreSQL, MongoDB and Redis
- π³ Docker and CI/CD
- π§ͺ JUnit and Mockito
- π€ OpenAI/Azure OpenAI API integration
- 𧩠Prompt Engineering, RAG, Embeddings and Vector Databases
- π AI security and responsible AI fundamentals
- βοΈ Basic cloud knowledge is an advantage
π° Expected Salary Range
TCS does not publish a fixed compensation range for this specific walk-in opportunity in the information provided. Market sources show considerable variation depending on experience, designation, location, project and negotiation. For example, current salary data and job estimates for TCS Java roles show figures ranging from approximately βΉ4β8 LPA for some Java openings, while reported experienced/lead Java compensation can be significantly higher.
For this particular experienced role, candidates should treat βΉ8β18+ LPA as a broad market-oriented expectation rather than a confirmed TCS salary range. GenAI expertise, strong microservices experience and current CTC can materially influence the final offer.
π― Expected TCS Interview Rounds
- Round 1 β Resume/Profile Screening: Experience, notice period, project relevance and technology alignment.
- Round 2 β Technical Interview: Core Java, Spring Boot, Microservices, Kafka, SQL, REST APIs and coding.
- Round 3 β AI/Project Discussion: OpenAI/Azure OpenAI, RAG, prompt engineering, embeddings and practical AI use cases.
- Round 4 β Managerial/Client Discussion: Architecture, ownership, production issues, communication and problem-solving.
- Round 5 β HR: Compensation, location, joining availability, career goals and documentation.
π Preparation Tips
π₯ Don’t prepare only Java. The AI component is an important differentiator.
- Practice explaining how you would build a Spring Boot service that calls an LLM API.
- Prepare a simple RAG architecture covering document ingestion β chunking β embeddings β vector database β retrieval β LLM response.
- Revise Kafka topics, partitions, consumer groups, offsets and failure handling.
- Prepare Spring Boot questions around dependency injection, REST controllers, JPA, transactions, security and Actuator.
- Practice SQL joins, indexing, aggregation and query optimization.
- Be ready to explain Dockerizing a Spring Boot microservice and integrating it into CI/CD.
- Prepare one real project story demonstrating scalability, debugging or production issue resolution.
- Understand AI risks such as hallucination, prompt injection, sensitive-data exposure and incorrect generated responses.
π Resume Tips
Your resume should immediately show the combination of Java + Spring Boot + Microservices + AI. Don’t bury AI experience at the bottom.
Use keywords such as Java 11/17, Spring Boot, Microservices, REST API, Kafka, PostgreSQL, MongoDB, Docker, CI/CD, OpenAI, Azure OpenAI, RAG, LLM, Prompt Engineering, Embeddings and Vector Database where they genuinely match your experience.
Add measurable achievements such as: βDeveloped 20+ Spring Boot microservices,β βReduced API latency by 30%,β or βIntegrated Azure OpenAI to automate customer-support workflows.β Also mention your architecture decisions, production ownership and troubleshooting experience.
π© How to Apply / Attend
π Application Link: Click Here
- π Interview Date: Saturday, 22 August 2026
- π Venue: TCS GG7, Skyview Corporate Park, Tower B, GG7, DelhiβGurgaon Expressway, Sector 74A, Gurugram, Haryana β 122004
Candidates interested in this opportunity should attend the TCS walk-in drive on 22 August 2026 at the Gurugram venue mentioned above. Carry an updated resume and relevant identification/documents as requested by the recruitment team.
β οΈ Before travelling, confirm the experience eligibility, because the announcement says 7β12 years, whereas the detailed JD says 4β6 years.
π Final Takeaway
This TCS opportunity is particularly attractive for Java professionals who want to move beyond traditional backend development into AI-powered enterprise applications. If you can demonstrate strong Spring Boot and microservices fundamentals while confidently explaining LLM APIs, RAG, embeddings and AI integration, you can stand out from candidates with only conventional Java experience. Good luck to everyone attending the walk-in! π€π₯
