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Senior Backend Engineer

  • Remote
    • Delhi, Delhi, India
    • Pondicherry, Tamil Nādu, India
    • Ahmedabad, Gujarāt, India
    • Fatorda, Goa, India
    • Hyderabad, Telangāna, India
    • Bangalore, Karnātaka, India
    • Indianapolis, Indiana, United States
    • Mumbai, Mahārāshtra, India
    • Sahibzada Ajit Singh Nagar (Mohali), Punjab, India
    +8 more
  • Engineering

Job description

At TechBiz Global, we provide recruitment services to our TOP clients from our portfolio. We are currently seeking a Senior Backend Engineer to join one of our clients’ teams - a Singapore-based FinTech company connecting global investors with private debt opportunities across Southeast Asia.

The successful candidate will work on a Private Credit Investment Platform and Credit Analytics Platform, developing scalable solutions and working with financial and loan data.

What You’ll Do

  • Design and develop scalable backend solutions for the Private Credit Investment Platform.

  • Build solutions to ingest, process, and analyse loan book and financial data.

  • Collaborate with product managers, designers, and engineers to translate business requirements into technical solutions.

  • Participate in code reviews and provide constructive feedback.

  • Take ownership of technical solutions and contribute to product development.

  • Manage multiple priorities and deliver high-quality results.

  • Support the technical direction and continuous improvement of the platform.

Job requirements

What We’re Looking For

  • At least 3–4 years of software development experience.

  • Strong experience with Golang, Java, or a similar backend programming language.

  • Experience with cloud platforms such as AWS, GCP, or Azure.

  • Experience with MongoDB or other non-relational databases.

  • Strong problem-solving and analytical skills.

  • Good communication and teamwork skills.

  • Ability to work independently and take ownership of tasks.

Nice to Have

  • Previous experience in the FinTech or financial services industry.

  • Strong hands-on experience with Golang and MongoDB.

  • Knowledge of Apache Parquet or similar technologies.

  • Experience working with data-intensive applications.

  • Experience processing large financial datasets.

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