Top Engineering Jobs in Pune

Leads Mastercard’s global software engineering organization, setting technology strategy and roadmaps for enterprise-scale configuration, onboarding, validation, certification, and lifecycle platforms. Oversees modernization, digital transformation, product delivery, engineering excellence, security, reliability, AI adoption, budgets, and organizational development. Partners with product, business, security, architecture, and executive stakeholders to deliver scalable, secure, high-performing platforms and measurable business outcomes.

Manage and coach multiple software engineering teams delivering secure Mastercard Cloud Commerce applications and services. Translate product requirements into architecture and implementations, guide development standards, oversee CI/CD and security automation, troubleshoot complex application issues, manage capacity and dependencies, support delivery planning, recruit talent, develop employees, and communicate technical risks and trade-offs to leadership. Experience with Java, Spring Boot, microservices, architecture, CI/CD pipelines, vulnerability scanning, and financial services is expected.

Lead modernization to microservices and event-driven platforms for high-volume, low-latency payment switching. Manage and grow engineering teams, own end-to-end delivery, ensure scalability and availability, define standards and CI/CD, drive performance engineering, provide architecture guidance across payment lifecycle, and champion AI-assisted engineering practices.

Design and implement production-grade AI and ML features, including scalable GenAI and RAG applications, data pipelines, and distributed cloud solutions. Collaborate with architects and client-facing teams on requirements, design, testing, debugging, code reviews, and agile delivery. Conduct technology evaluations and proofs of concept, contribute to architecture, estimate complex work, and mentor engineers. Support ML platform development, CI/CD, monitoring, and full ML lifecycle management.

Leads and manages software engineering teams developing scalable Java, cloud, and microservices-based products and platforms. Responsibilities include architecture leadership, hands-on development, code reviews, technical design, agile delivery, engineering quality, cloud enablement, streaming analytics, recruiting, mentoring, and stakeholder collaboration. The role oversees the full software development lifecycle and advances high-volume data access, platform strategy, and engineering productivity.

Designs and maintains enterprise IAM platforms and directory services, develops API integrations and automation, analyzes authentication telemetry and logs, creates technical architectures and runbooks, validates upgrades and security patches, and tests secure identity protocols for enterprise solutions.

Leads Mastercard’s Pune technology hub and serves as the local leadership point for site colleagues. Coordinates technology delivery, budgets, timelines, resources, Agile execution, architecture, resilience, security, automation, and platform initiatives. Builds relationships with senior leaders, vendors, partners, regulators, and support teams while driving employee engagement, hiring, retention, innovation, continuous improvement, and strategic alignment across distributed technology teams.

Leads a global Kubernetes platform engineering team, setting the platform roadmap and overseeing enterprise-scale infrastructure health, security, compliance, automation, observability, and scalability. Partners with FinOps, Finance, DevOps, and product leaders to manage budgets, forecast growth, optimize cloud resources, reduce operational toil, and align platform performance with business value. Develops engineering talent and drives organizational adoption of Infrastructure as Code and automated CI/CD practices.

Leads the strategic design and evolution of enterprise identity and access management platforms. Builds automated deployment pipelines and API integrations, analyzes platform telemetry and security logs, engineers defenses against architectural vulnerabilities, supports cloud migrations and compliance mandates, resolves critical identity platform outages, and evaluates zero-trust and emerging identity technologies.

Lead engineering strategy and delivery for the NGFT platform, ensuring stability, scalability, compliance, and migration from legacy systems. Manage and develop global engineering teams and managers, drive observability, incident management, resiliency, and automation. Partner with Product, TPM, SRE and stakeholders to deliver platform capabilities, enforce SDLC and security best practices, and represent engineering in executive forums.

Lead and grow a full‑stack engineering team for IdentityIQ, driving feature development, platform modernization, QA and test automation, and cross‑functional delivery while partnering with Product Management to scope, prioritize, and release secure, scalable enterprise identity solutions.

Lead and manage seat-structure product development teams to meet government and OEM standards, oversee design releases and engineering changes, ensure schedule and budget adherence, liaise with customers and suppliers, document lessons learned, recruit and coach engineers, and maintain safety and quality processes.

Leads software engineering teams responsible for building, modernizing, and operating a global, multi-tenant rewards platform. Responsibilities include people leadership, service ownership, delivery planning, technical guidance, production readiness, incident resolution, reliability, security, observability, cloud modernization, agile execution, and stakeholder collaboration. The role drives engineering quality, operational excellence, automation, documentation, and improvements to DORA metrics across high-volume platform services.

The role involves managing a software engineering team, promoting best practices, mentoring engineers, and collaborating on product solutions. Requires experience in Go, Unit Testing, and Agile methodologies.

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.

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.

As a Senior Technical Program Manager, you'll collaborate with engineers to develop B2B payment solutions, managing projects from inception to completion and ensuring effective communication across teams.

The Lead, Big Data Analytics & Engineering will oversee data engineering, analytics enablement, and collaboration across teams, focusing on high-quality data platforms and solutions.

Lead and mentor an SRE team to ensure reliability, scalability, and performance of Mastercard applications. Drive production readiness, automation, observability, incident triage/root-cause analysis, resilience design, and cloud/container modernization. Partner with developers to embed operational best practices and manage risk, compliance, and deployments across distributed systems.

Lead design and development of a fintech onboarding web product using Angular, Java/Spring Boot, Node.js front-end frameworks, and cloud-based microservices. Build secure, scalable REST APIs, integrate external/internal content feeds (JSON/XML/RSS), implement automated tests, document components, and collaborate with distributed teams to deliver digital consumer solutions.

Lead design and delivery of AI-powered NLP/LLM features and full-stack provider chat/voice workflows. Own end-to-end model lifecycle: data prep, experimentation, deployment, monitoring, APIs, MLOps, and on-call support. Implement responsible AI guardrails for PHI/PII, collaborate across product, security and platform teams, improve reliability, latency, test coverage, and mentor engineers.

Lead design and delivery of scalable data pipelines and platforms, manage and mentor a data engineering team, partner with business and analytics to translate requirements, enforce data quality, governance and security, and ensure operational stability and performance for analytics and AI use cases.

Lead and grow an 8-12 person Cloud Platform Engineering team to deliver scalable cloud infrastructure, CI/CD and automation tooling, developer productivity platforms, monitoring and incident processes, and quality-embedded pipelines. Drive multi-team platform initiatives, technical architecture, operational reliability, and continuous improvement to support large-scale customer transactions and engineering velocity.

Perform system- and component-level CFD analysis using multiple ANSYS and other simulation tools. Build and check analysis models, create parametric CAD models, generate meshes, conduct steady-state and transient thermal or flow simulations, perform sensitivity analyses, interpret results, recommend design improvements, and prepare clear technical reports. The role may also support fan performance evaluation, flow-bench testing, and wind-tunnel operations.

Lead CFD analyst supporting design, analysis, and qualification of downhole oilfield tools using advanced CFD and structural simulations. Collaborate with design, testing, and product teams to improve performance, reliability, and durability; document results and support design reviews, testing correlation, and field issue resolution.