Software Engineering Lead

About the job

Job Title :

Software Engineering Lead

Location :

Gurgaon (50% mix of Work From Home and Work From Office)

Employment Type : Full-Time

Reports to : CTO

About Axslogic

Axslogic is a fintech analytics enterprise software company that helps financial institutions digitize their lending data analytics while they progress their overall digitization journey. The company's flagship product, Winnow™, creates a new early warning exception management paradigm to manage challenges and risks associated with lending businesses. Founded by domain experts, Axslogic provides cutting-edge business analytics solutions that enable better portfolio performance and improved profitability for financial institutions. The company is headquartered in Singapore, with offices in India and the UAE.

Role Overview

Axslogic is seeking an experienced and hands-on Software Engineering Lead to join our team and drive the continuous enhancement of our unique product – Winnow™ - a patented cloud-based platform that provides Early Warning and Predictive Analytic capabilities to financial institutions. The ideal candidate will seamlessly play a dual role of

individual contributor (as a coder) as well as team mentor and manager

, balancing delivery, people growth, and technical depth. The candidate will lead a team of engineers working across Java (Spring Boot), React, and Python microservices.

This role requires strong expertise in

Product development practices

, deep

hands-on experience with Java, React and Python

, and a thorough understanding of

IT security and high volume computing architectures

Key Responsibilities :

Lead engineering delivery for product features and releases.

Manage and mentor the software engineering team (career discussions, 1 : 1s, hiring, onboarding).

Contribute directly to codebase (~40%-50% time) on critical features and complex integrations.

Drive code quality via reviews, architecture guidance, security guidance and knowledge-sharing.

Ensure delivery predictability by coordinating with QA, Platform Engineering, and Data / ETL team.

Balance SaaS and Managed SaaS deployment demands, working with DevOps / Platform team.

Foster a strong engineering culture of ownership, learning, and collaboration.

Required Qualifications :

8–12 years of software development experience with 2+ years in a lead role.

Strong hands-on expertise in

Java (Spring Boot)

and

React

; exposure to

Python microservices

preferred.

Experience with cloud deployments (AWS or equivalent), CI / CD, and observability.

Proven ability to manage hybrid teams (remote + office).

Track record of balancing coding, mentoring, and people leadership.

Strong communication skills for cross-functional collaboration.

Preferred Qualifications :

Exposure to ML / LLM-driven microservices.

Experience with CI / CD practices

Experience in fintech / banking products.

Knowledge of SaaS and client-VPC deployment patterns.

Understanding of financial services domain, particularly lending analytics

Engineering Graduate from a top-tier college

Why Join Us?

Work on Winnow™, a cutting-edge patented SaaS platform that provides pre-programmed early warning capabilities and state-of-the-art reporting and analysis for financial institutions

Support a robust solution with over 1500 Alert Thresholds, 250+ Reports with multi-variate segmentation over 60+ dimensions

Design and build a platform that disrupts traditional manual processes in financial risk management

Use cutting-edge ML and AI tools to deploy innovative solutions that use Agentic AI

Work with a strong management team with significant domain expertise in Commercial Lending, Banking, and Consumer Financial Services

Flexible working arrangements and a collaborative team environment

Join a global team with offices in Singapore, India, and the UAE

About Our Technology Stack

Our Winnow SaaS platform is implemented using world-class platforms and requires expertise in maintaining a secure, high-performance cloud infrastructure. The platform handles sensitive financial data and powers analytics that help banks and financial institutions make critical business decisions.