Technical Lead

loreal

Hyderabad 9 Years Exp Posted 1h ago

1. AI Coding & Velocity (Team Lead Ownership)

AI-First Development: Standardize the use of GitHub Copilot/Cursor across the squad. You are responsible for the 20-30% productivity gain expected from AI augmentation.
Prompt Governance: Create a library of "Prompts" for the team to generate Spring boilerplate, complex SQL mappings, and integration test suites.
Quality Control: Ensure AI-generated code meets L'Oréal’s security and performance benchmarks (preventing "AI-hallucinated" vulnerabilities).

2. Implementation of Integration Patterns

Pattern Execution: While the SA defines the pattern (e.g., Saga or Event-Driven), you implement it. You will write the core Spring Cloud Stream logic that ensures data consistency.
API Craftsmanship: Build and refine REST/gRPC APIs, focusing on implementation details like custom filters, interceptors, and error-handling strategies.
Cloud-Native Development: Architect and implement Spring Boot microservices specifically optimized for GCP (GKE, Cloud Run, Pub/Sub) or Azure (AKS, App Service, Service Bus).

3. Spring Ecosystem Expert-in-Residence

Deep-dive into Spring Boot 3.x features.
Lead the implementation of Spring Security (OAuth2/OIDC) and Spring Data performance tuning (Hibernate caching, query optimization).

4. Squad Mentorship & PR Leadership

Own the Pull Request (PR) process. You are the final gatekeeper for code merging.
Bridge the gap between the Architect's vision and the Developer's daily tasks.

What are we looking for?

Technical Requirements

AI Tools (Mandatory): Expert proficiency in GitHub Copilot, Cursor, or equivalent. Ability to demonstrate "AI-assisted refactoring" of legacy Java code.
Spring Mastery: Extensive experience in Spring Boot, Spring Cloud, and Spring Integration.
Integration Skills: Hands-on experience with Kafka, RabbitMQ.
Java Depth: Expert Java 17/21 (Records, Virtual Threads/Project Loom).
Cloud Expertise: 3+ years of hands-on experience in Google Cloud (GCP) or Microsoft Azure. Certification (e.g., Google Professional Cloud Developer or Azure Developer Associate) is a significant plus.

Soft Skills & Qualifications

Experience: 9+ years in Java Engineering, with 2+ years leading a squad.
Pragmatism: Ability to balance "Perfect Code" with "Business Velocity" using AI.
Leadership: Experience mentoring junior data engineers in writing clean, scalable Java.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.