Backend Engineer

Centricity WealthTech • Wealth Management & Financial Advisors • Financial Software & Embedded Finance • Python • Go • Java • SQL • 2 months ago
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Salary
≈ $9k – $25k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp

First seen by Alion on Aug 18, 2026.

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Centricity WealthTech

Centricity is a SAAS-based investment management platform that empowers finance and investment professionals to establish their independent practices and manage investment portfolios efficiently.
centricity.co.in • HQ: Bengaluru, Gurgaon, India • Investing Apps & Robo-Advisors • Wealth Management & Financial Advisors • 201-500 employees • Est. 2022
Tech stack of Centricity WealthTech
Backed by Lightspeed Venture Partners, Lightspeed Venture Partners

We are looking for a backend engineer to build and scale high-performance, distributed systems powering our fintech platforms. You will work on core backend services, APIs, and data systems that handle large-scale financial transactions and analytics.

Responsibilities:

  • Design, build, and scale backend services and APIs.
  • Develop robust, secure, and high-performance systems.
  • Work on distributed architectures and microservices.
  • Collaborate with product, frontend, and data teams.
  • Optimise system performance, reliability, and scalability.
  • Ensure best practices in code quality, testing, and deployment.

Requirements:

  • 2-8 years of backend engineering experience.
  • Strong problem-solving and system design skills.
  • Experience building scalable and high-throughput systems.
  • Hands-on with at least one backend language (Go/Python/Java).
  • Familiarity with cloud infrastructure (AWS preferred).
  • Understanding of databases, caching, and system performance.

Tech Stack:

  • Languages: Golang, Python, Java.
  • Frameworks: Spring Boot (Java-based services).
  • Cloud: AWS.
  • Databases: MongoDB + other NoSQL/SQL systems.
  • Architecture: Microservices, REST APIs, distributed systems.

Good to Have:

  • Experience in fintech/wealth/high-scale platforms.
  • Exposure to event-driven systems, Kafka, etc.
  • Understanding of security, compliance, and financial data systems.
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