Top Tech Jobs & Startup Jobs in Pune

Owns the vision, roadmap, backlog, requirements, and launches for data platform products. Translates business and customer needs into technical features, user stories, and acceptance criteria; partners with engineering and technical program teams; monitors product performance, adoption, and operational health; manages documentation, prioritization, and post-launch feedback. The role also supports data quality, governance, analytics, stakeholder collaboration, mentoring, and hiring activities.

Supports Mastercard Merchant Cloud growth across APAC through market research, customer segmentation, transaction analysis, opportunity sizing, pipeline analytics, dashboards, and integrated datasets. The role generates data-backed insights, benchmarks, and reporting to inform prioritization, commercialization, and cross-functional decision-making. It requires payments, fintech, or e-commerce knowledge, advanced Excel skills, dashboarding experience, and the ability to translate complex data into clear business narratives.

Leads data engineering programs from inception through delivery, managing integrated plans, dependencies, resources, milestones, risks, and cross-team blockers. Serves as the primary source of project status, facilitates decision-making and communication with senior stakeholders, represents technology domains, and drives continuous process improvements using data and organizational mechanisms.

Design, build, and deploy AI and Generative AI solutions using LLMs, agent frameworks, and RAG. Develop scalable AI/ML pipelines, cloud-native integrations (Azure/Databricks/AWS), and MLOps/LLMOps deployments. Integrate AI with APIs, databases, and internal apps. Implement Responsible AI practices (bias detection, hallucination mitigation, explainability, safety guardrails). Monitor, test, and maintain production AI systems while staying current on Generative AI trends.

Lead Software Engineer responsible for developing, maintaining, and supporting high-availability payment platforms. The role involves Java backend development, Oracle database work, REST and event-driven integrations, production reliability, Agile delivery within SAFe, distributed team collaboration, testing, automation, and continuous improvement. Experience with Spring Boot, Angular, JavaScript, SQL, DevOps tools, and security mechanisms is required; payment or financial-services experience is preferred.

Lead the architecture and development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and AI lifecycle capabilities. Drive security, governance, observability, reliability, performance, and cost optimization while translating R&D concepts into production systems. Provide hands-on technical leadership, architecture reviews, mentorship, and cross-functional collaboration.

Lead the architecture and hands-on development of scalable batch, streaming, and event-driven data platforms supporting analytics, machine learning, generative AI, and agentic AI. Build governed lakehouse architectures, reusable data products, ingestion and orchestration pipelines, and ML lifecycle capabilities. Establish standards for security, governance, testing, CI/CD, observability, reliability, and cost optimization while providing technical leadership, mentoring, architecture reviews, and cross-functional collaboration.

Develop scalable full-stack applications and reusable Java microservices using Spring Boot, event-driven architecture, CI/CD, and cloud technologies. Apply coding best practices, quality gates, persistence solutions, and Agile practices. Conduct proofs of concept, coordinate across teams, and mentor junior developers while maintaining strong security and code quality standards.

Develop and maintain scalable full-stack microservices using Java, Spring Boot, event-driven architecture, and cloud technologies. Apply SOLID principles, coding best practices, CI/CD, and appropriate persistence mechanisms. Collaborate across teams in an Agile environment, conduct proofs of concept, ensure code quality, and mentor junior developers.

Provides Tier 1 and Tier 2 Jira Cloud support, including user onboarding, issue resolution, provisioning, migrations, demonstrations, and escalations. Partners with engineering and vendors to troubleshoot configurations, integrations, plugins, permissions, and data synchronization. Coordinates change planning, schema updates, data cleanup, security compliance, and documentation across global programs. Requires strong technical program management, stakeholder communication, Agile tooling expertise, and experience with enterprise migrations and dependency tracking.