Hiring for a Client - Alation

Roles & Responsibilities

1. Design and implement moderately complex features with minimal supervision
2. Contribute to system design discussions and provide input on architecture decisions
3. Actively use AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) to accelerate development — scaffolding features, writing tests, reviewing code, and debugging
4. Leverage AI tooling to iterate quickly, reduce boilerplate, and ship production-ready code at higher velocity
5. Critically evaluate AI-generated code for correctness, security, and adherence to team standards before merging
6. Debug and troubleshoot efficiently, with well-reasoned solutions

Ideal Candidate 1 Strong Backend Software Engineer Profile with strong Core Java expertise

2 Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3 Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4 Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5 Mandatory (Tech skill 1): Must have solid, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6 Mandatory (Tech skill 2):



Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7 Mandatory (Tech skill 3): Must have microservices experience.

8 Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9 Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10 Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11 Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12 Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13 Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14 Preferred (Backend): Hands-on Python experience is a plus.

Additional Information

1. The engineer will own business-critical components and services powering key use cases for customers

📌 AI Native Backend Engineer ( Core Java ) (Bengaluru)
🏢 TalentXO
📍 Bengaluru