Software Engineering Lead

About the jobJob Title : Software Engineering LeadLocation : Gurgaon (50% mix of Work From Home and Work From Office)Employment Type : Full-TimeReports to : CTOAbout AxslogicAxslogic 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 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 practicesExperience in fintech / banking products.Knowledge of SaaS and client-VPC deployment patterns.Understanding of financial services domain, particularly lending analyticsEngineering Graduate from a top-tier collegeWhy 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 institutionsSupport a robust solution with over 1500 Alert Thresholds, 250+ Reports with multi-variate segmentation over 60+ dimensionsDesign and build a platform that disrupts traditional manual processes in financial risk managementUse cutting-edge ML and AI tools to deploy innovative solutions that use Agentic AIWork with a strong management team with significant domain expertise in Commercial Lending, Banking, and Consumer Financial ServicesFlexible working arrangements and a collaborative team environmentJoin a global team with offices in Singapore, India, and the UAEAbout Our Technology StackOur 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.