Top Tech Jobs & Startup Jobs in Pune, MH

Lead backend engineer responsible for designing, developing, and maintaining Java-based payment platforms. Work in a SAFe Agile team, support production systems, collaborate with distributed onshore teams, implement testing (TDD/BDD), REST and event-driven integrations, and contribute to reliability, automation, and security practices.

The Senior System Analyst bridges business needs with technical solutions, focusing on data strategy, analytics, stakeholder management, and product ownership within the Workplace Intelligence Platform.

Design, develop and deliver secure software solutions across the full SDLC. Define requirements, create design and test artifacts, lead development and maintenance, perform incident management and on-call support, run PoCs, evaluate vendor solutions, mentor and train team members, coordinate offshore resources, and promote QA, performance benchmarking and security best practices.

Provide operational support for franchise programs, handle day-to-day requests, identify risks, and drive process improvements. Build data dashboards, analyze large datasets, automate processes, and partner with stakeholders to implement solutions and enhance customer experience.

Design and build production-grade AI applications embedding ML/LLM capabilities. Integrate trained models into APIs, services, UIs, and workflows. Operationalize models (versioning, deployment, monitoring), implement guardrails, ensure security/privacy/compliance, apply bias mitigation and explainability, and mentor team members on AI engineering best practices.

Lead GBSC data engineering and analytics initiatives: design data/ETL infrastructure, implement automation, enable large-scale structured and unstructured data analysis, manage team delivery, and communicate insights to influence business decisions.

Manage customer-facing communications for Cross-Border Services, triage inquiries via shared mailboxes and ticketing systems, draft and publish compliant messages, track feedback, maintain documentation and content lifecycle, and collaborate with product, technical, and regional teams to improve communication quality and customer experience.

Lead ML engineering for Operational Intelligence: design and productionize multimodal transformer and agentic systems, build scalable RAG/Graph-RAG and LLMOps/MLOps pipelines, implement inference services and memory/state subsystems, apply traditional and deep learning methods, enforce Responsible AI, and drive research-to-production innovation.

The Lead Software Engineer is responsible for information security, adhering to policies, and ensuring secure access to Mastercard's digital payment systems.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.