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:CTOAbout 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 OverviewAxslogic 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 ofindividual 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 inProduct development practices, deephands-on experience with Java, React and Python, and a thorough understanding ofIT 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 inJava (Spring Boot)andReact; exposure toPython microservicespreferred. 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.