Top Engineering Jobs in Pune

Leads global software engineering organizations responsible for release quality, platform stability, modernization, cloud-native and distributed architectures, AI adoption, and operational excellence. Establishes testing and release governance, reduces technical debt, improves engineering productivity, and promotes security, resilience, and compliance. Develops engineering leaders, drives succession planning, manages strategic partners, and advises executives on quality, risk, delivery, and technology strategy.

Lead and manage a software engineering team to design, develop, and deliver backend solutions. Define technical direction, drive cross-department initiatives, partner with business stakeholders, manage budget/resources, enforce processes, and ensure timely, high-quality delivery using microservices, event-driven architectures, CI/CD, containerization and cloud-native platforms.

Leads the engineering function by setting strategic direction, overseeing project execution, managing resources and budgets, ensuring quality and compliance, driving process improvements, and developing high-performing teams. Collaborates with cross-functional stakeholders to advance innovation and achieve business objectives. Responsibilities also include recruiting talent, developing successors, improving retention and engagement, and fostering an inclusive culture.

Leads software engineering for Mastercard’s data and insights organization. Oversees multiple engineering teams, coaches leaders, and drives architecture, design, implementation, and release of complex data-intensive products. Guides backend development, cloud platform adoption, organizational improvements, and cross-functional delivery across geographies. Ensures secure, governed, production-ready solutions that use analytics, AI, and advanced modeling to deliver customer value.

Leads engineering teams building scalable, reliable backend systems for global payment networks. Owns architecture, technical delivery, production deployment, operational excellence, risk management, and cross-team execution. Guides development using Java, Spring Boot, REST APIs, microservices, event-driven architectures, and large-scale data platforms. Builds and mentors high-performing teams, improves reliability and observability, manages incidents, and supports hiring and career development.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads the architecture, delivery, and evolution of scalable AI platforms and GenAI services. Manages and mentors engineering teams, oversees backend development using Python frameworks, guides LLM integrations and agentic workflows, establishes engineering standards, and owns technical delivery across multiple services. Partners with Product, AI/ML, DevOps, Data Engineering, and Consulting teams while ensuring production reliability, observability, security, and long-term platform sustainability.

Manage and support the engineering function for automotive seating products. Ensure compliance with quality procedures, analyze production methods, provide technical guidance on complex projects, improve product design quality and safety, meet customer requirements, maintain design controls, report engineering performance, and collaborate with design, process, production, and quality teams.

Leads AI-enabled analytics engineering and commercial analytics workstreams for life-sciences and other clients. Builds Databricks insight pipelines, agentic LLM workflows, conversational analytics, evaluation harnesses, governed data products, and production-quality software. Structures ambiguous business questions, applies advanced analytical methods, integrates complex data sources, and translates findings into decisions and client-ready deliverables. Manages and coaches teams of 2–4, oversees quality and delivery risks, supports client stakeholders, and contributes to proposals and capability development.

Build and maintain Databricks analytics pipelines, LLM agent tools, evaluation harnesses, data guardrails, and tests while delivering commercial analytics for client teams. Analyze varied healthcare, life sciences, CRM, financial, and operational datasets using segmentation, forecasting, cohorts, and test-and-control methods. Present insights clearly, manage modules end to end, guide Associates, support SIT/UAT, and collaborate directly with clients.

Lead complex customer investigations involving cloud services, network data, logs, and product behavior. Coordinate escalations with Engineering and Product, recommend fixes, create automation and documentation, mentor engineers, and support customers through scheduled 24-hour coverage. Diagnose technologies including DNS, HTTP/HTTPS, TCP/IP, routing, proxies, authentication, and SSO.

Leads quality engineering and functional testing for Copilot Studio agents. Designs test plans, validates conversational behavior, generative answers, knowledge grounding, Power Automate flows, MCP integrations, responsible AI safeguards, publishing across channels, and environment releases. Manages regression testing, defect tracking, test evidence, UAT coordination, and release readiness while collaborating with developers, architects, and business analysts.

Leads the architecture, development, testing, publishing, and maintenance of Microsoft Copilot Studio agents. Designs topics, knowledge sources, generative answers, prompts, and conversational flows; builds Power Automate integrations and MCP Server connections; and uses Azure AI Foundry for advanced models and RAG. Ensures ALM, security, scalability, responsible AI, and performance standards while troubleshooting agent and connector issues and collaborating with architects and delivery teams.

Leads requirements elicitation and solution validation for Copilot Studio agents. Defines use cases, conversation flows, user stories, acceptance criteria, knowledge sources, integrations, and responsible AI expectations. Manages backlog prioritization, Agile ceremonies, stakeholder workshops, UAT coordination, and validation of delivered agent behavior.

Leads requirements elicitation and solution validation for Microsoft Copilot Studio agents. Defines agent use cases, conversation flows, knowledge sources, integrations, responsible AI expectations, user stories, and acceptance criteria. Manages and prioritizes the product backlog, facilitates Agile ceremonies, validates delivered agent behavior, and supports UAT coordination and sign-off.

Leads functional and quality testing for Copilot Studio agents, validating conversational behavior, generative answers, knowledge grounding, flows, tool integrations, safety, bias, hallucinations, publishing, and cross-environment performance. Designs test plans, executes regression testing, manages defects, verifies fixes, maintains evidence, supports UAT and release readiness, and collaborates with technical and business stakeholders to ensure Definition of Done criteria are met.

Leads quality engineering for Copilot Studio agents by designing and executing functional, regression, conversational, integration, and responsible AI tests. Validates agent flows, grounded responses, Power Automate workflows, MCP Server integrations, publishing across channels and environments, and defect resolution. Coordinates UAT and release readiness, maintains test evidence, and collaborates with technical and business stakeholders to clarify requirements and ensure Definition of Done criteria are met.

Leads functional and quality engineering for Copilot Studio agents. Designs and executes conversational, regression, integration, safety, bias, hallucination, and cross-channel testing. Validates generative answers, knowledge grounding, Power Automate flows, MCP tool integrations, publishing, and environment transitions. Manages defects through closure, maintains test evidence, supports UAT and release readiness, and collaborates with developers, architects, and business analysts to clarify requirements and edge cases.

Leads the technical direction, architecture, development, testing, and delivery of custom Copilot Studio agents. Builds topics, knowledge sources, generative answers, Power Automate workflows, MCP Server integrations, and Azure AI Foundry connections. Manages publishing across channels, ALM practices, troubleshooting, responsible AI validation, and collaboration on security and design standards.

Leads the architecture, development, testing, publishing, and lifecycle management of Microsoft Copilot Studio agents. Designs topics, knowledge sources, generative answers, prompts, and conversational flows; integrates Power Automate, MCP Server tools, business systems, and Azure AI Foundry models. Ensures responsible AI practices, security, scalability, ALM alignment, and code quality while troubleshooting agent and connector issues and collaborating with architects and delivery teams.

Leads the technical direction, architecture, and delivery of custom Copilot Studio solutions. Builds and publishes conversational agents, configures generative orchestration and knowledge sources, develops Power Automate integrations, connects MCP tools, and uses Azure AI Foundry for advanced models and RAG. Responsibilities include testing, troubleshooting, ALM management, responsible AI validation, security collaboration, and code or configuration reviews.

Leads the technical direction, architecture, development, testing, and deployment of Microsoft Copilot Studio agents. Builds topics, knowledge sources, generative answers, Power Automate integrations, MCP Server connections, and Azure AI Foundry grounding workflows. Manages publishing across channels, ALM practices, troubleshooting, responsible AI validation, and collaboration on security and design reviews.

Leads the architecture, development, testing, publishing, and lifecycle management of Microsoft Copilot Studio agents. Builds topics, knowledge sources, generative answers, Power Automate workflows, MCP tool connections, and Azure AI Foundry integrations. Tunes prompts and agent behavior, applies responsible AI practices, troubleshoots conversational and integration issues, and collaborates on security, ALM, design, and code reviews.

Leads the architecture and delivery of enterprise Copilot Studio agents. Defines agent design, knowledge grounding, integrations, security, governance, ALM, responsible AI standards, and deployment strategies. Provides technical direction, design assurance, prompt-tuning guidance, stakeholder collaboration, complex issue resolution, and mentorship. Integrates Power Automate, MCP servers, Azure AI Foundry, RAG, and agentic workflows to deliver scalable business solutions.

Leads requirements elicitation and solution validation for Power Platform solutions. Facilitates stakeholder workshops, translates business needs into user stories and acceptance criteria, manages and prioritizes backlogs, maps data and integration requirements, supports Agile ceremonies, validates delivered functionality, and coordinates UAT. The role also guides technical direction, architecture, development standards, scalability, performance, and delivery across custom software initiatives.