ChiStats is an award-winning Data Science and AI Engineering company building intelligent technology solutions for the Financial Services and BFSI ecosystem. From AI-powered compliance platforms to scalable data products, we help financial institutions simplify complexity, automate operations, and stay ahead in a rapidly evolving regulatory landscape.

Our flagship platform, ComplianceAssist, enables Mutual Funds, AMCs, PMS, and AIFs to transform regulatory compliance into a streamlined, automated, and insight-driven process. As we continue to expand, we are building the next generation of AI-led products and solutions for the WealthTech industry.

We are especially seeking someone with strong hands-on experience in Python, React.js, AWS, and modern full-stack development, with the ability to own and deliver features end-to-end. Work Mode - Work From Office Key Roles &

Responsibilities

· Own and deliver features end-to-end, from requirement analysis through production deployment. · Design, develop, test, deploy, and maintain scalable full-stack applications. · Translate business requirements into effective and maintainable technical solutions. · Participate in technical design, architecture discussions, code reviews, CI/CD, deployment, and production support. · Ensure code quality, performance, security, and maintainability through engineering best practices. · Troubleshoot complex technical issues and drive effective root-cause resolution. · Collaborate with cross-functional teams and communicate technical solutions clearly. · Mentor junior developers and contribute to continuous improvement of engineering practices. · Demonstrate strong ownership and leadership potential, with a path toward a Technical Lead / Engineering Leadership role.

Requirements · Backend: Strong hands-on experience in Python, with expertise in FastAPI, Flask, and/or Django; REST API development and backend engineering. · Frontend: Strong hands-on experience with React.js and JavaScript, including modern frontend development and API integration. · Database: Strong understanding of PostgreSQL/MySQL, database design, SQL, data modeling, indexing, and query optimization. · Cloud: Hands-on experience with AWS and deployment of cloud-based applications. · DevOps & CI/CD: Experience with Git, Docker, CI/CD pipelines, and automated build, testing, and deployment processes. · SDLC: Strong understanding of the complete software development lifecycle from requirements, design, development, testing, and code review to deployment and production support. · Engineering Practices: Experience with code reviews, testing, debugging, API design, production support, and scalable application development. · Communication: Strong communication, collaboration, and presentation skills.