Top Tech Jobs & Startup Jobs in Pune

Lead design, development and delivery of scalable, secure software for post-trade core services. Collaborate cross-functionally, enforce code quality and unit testing, set technical strategy, manage resources/budgets, mitigate risk, advise stakeholders, and coach teams to drive continuous improvement and alignment with business goals.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Design, develop and deliver high-quality Avaloq/Oracle PL/SQL banking software. Collaborate with product, design and engineering teams, follow secure coding and SDLC practices, support mission-critical systems, lead/supervise team members, participate in code reviews and continuous improvement.

Develop and maintain data architectures, pipelines, warehouses and lakes; design processing and analysis algorithms; integrate systems (REST/SOAP); collaborate with data scientists on ML deployments; lead or mentor team members and ensure secure, performant solutions delivered in Agile projects.

Designs, builds and maintains data pipelines, warehouses and lakes; implements processing algorithms; collaborates with data scientists to deploy ML models; leads/supervises teams and ensures data quality, security and compliance.

Perform advanced analytics on large datasets, design and build automated data pipelines, investigate data quality and lineage, and create interactive dashboards. Translate insights into actionable campaign and process recommendations, partner with stakeholders and support campaign delivery and BAU operations.

Lead product ownership for Payments: define vision, prioritize and refine backlogs, write user stories and acceptance criteria, liaise with stakeholders and delivery teams, drive execution of roadmaps, monitor KPIs and product performance, manage risk and controls, and apply agile practices to deliver regulated Open Banking/payments solutions.

Perform data investigation, design ETL/data pipelines, apply advanced analytics and ML to large datasets, create dashboards and automated reports, and translate insights into actionable campaign and operational recommendations while managing stakeholders and team responsibilities.

Lead multiple full-stack engineering teams to deliver scalable, secure customer-facing and core banking solutions. Own end-to-end delivery, governance of engineering metrics, architecture reviews, risk and technical debt management. Drive engineering strategy, AI-enabled productivity, DevOps/SRE practices, talent development, and cross-functional collaboration to align technical work with business outcomes.

Design, build and maintain scalable, secure Java microservices and full-stack solutions. Collaborate with product, design, and engineering peers, follow DevSecOps practices (GitLab pipelines, container deployments), implement messaging and data solutions (Kafka/MQ, SQL/NoSQL), apply secure coding and automated testing, and contribute to technical strategy and operational controls for liquidity platforms.