Top Tech Jobs & Startup Jobs in Pune

Serve as the technical bridge between product owners and engineering, translating roadmap vision into technical requirements, prioritising features, ensuring regulatory compliance, monitoring product performance, improving infrastructure and deployment pipelines, and supporting ML model deployment and data-driven decisions while collaborating with stakeholders.

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.

The QA Automation Tester will enhance quality assurance practices, lead risk assessments, and oversee automated testing within complex enterprise systems using Java or Python and various frameworks.

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.

Design, develop and improve scalable, maintainable full‑stack software using Java and Spring. Collaborate with product, design and engineering teams, implement secure coding and unit testing practices, participate in code reviews, and optimize performance (JVM/memory). Support microservices, REST APIs and event-driven integrations (Kafka/API Gateway).

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.

Design and deliver scalable, secure software solutions across APIs, microservices, cloud and data platforms. Collaborate with product and engineering teams, produce solution artefacts (HLDs, API specs), enforce secure coding and testing, and contribute to architecture, governance, and operational readiness.

Design, build and maintain data pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy models; produce strategic dashboards and deep-dive performance analysis for stakeholders; ensure data accuracy, security and timely reporting to support business decisions.

Lead design, delivery, and operation of reliable, scalable, secure infrastructure platforms. Own storage (SAN/NAS), backup and recovery, SRE practices, automation, observability, incident management, cross-functional collaboration, and strategic leadership or subject-matter expertise at VP level.

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.