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SourcingXPress Linkedin · Posted 28d ago

Senior Full Stack Engineer

Chennai, Tamil Nadu, India

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Indexed description

Company: People Impact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Consulting Firm

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 8-29 Lacs PA

Job Description

This is a Permanent Role with a Valued Clients of People Impact

Domain: International Banking

Locations: Pune / Chennai

Work Model: Hybrid (5 days)

Shift: General Shift

Notice Period: 15–30 days joiners only

We are looking for Senior Full Stack Engineers (6–10 years experience) with strong expertise in Java-based microservices and React frontend development, to build scalable systems in the international banking domain.

Key Responsibilities

  • Design and develop full stack applications using Java (Spring Boot microservices) and React
  • Build scalable and high-performance distributed systems
  • Work on system design, performance tuning, and architectural improvements
  • Ensure code quality through best practices in SDLC, testing, and deployment
  • Collaborate with cross-functional teams in an agile environment

Required Skills

  • 6–10 years of software development experience
  • Strong experience in Java, Spring Boot, Microservices
  • Hands-on experience in React (frontend development)
  • Python/TypeScript acceptable for some backend components.
  • Good understanding of REST APIs and distributed systems
  • Experience with Kubernetes and containerized applications
  • CI/CD pipelines and DevOps practices (GitOps preferred)
  • Strong knowledge of system design, scalability, and performance engineering
  • Understanding of database scaling, sharding, and consistency models
  • Good grasp of data structures, algorithms, and complexity analysis
  • Strong communication skills

Good to Have

  • Experience in A/B testing and feature flagging
  • Exposure to banking or financial domain

Understand

  • Large‑scale distributed systems, Performance engineering, data modeling
  • Time/space complexity, algorithmic tradeoffs
  • Race conditions, microservice consistency issues, sharding, database scaling
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