Top Tech Jobs & Startup Jobs in Pune

Develop and maintain scalable full-stack applications using Java, Spring Boot, React, REST, gRPC, microservices, databases, and event streaming. Design APIs, user interfaces, automated tests, and optimized database solutions while applying TDD, CI/CD, and AI-assisted engineering. Own initiatives through production, troubleshoot issues, participate in architecture and code reviews, mentor engineers, and promote secure, maintainable, high-performance development practices.

Leads product strategy, roadmaps, requirements, and end-to-end delivery for Mastercard payment platform capabilities. Partners with Product Management, Engineering, Architecture, Operations, and global stakeholders to launch scalable products, prioritize investments, define KPIs, and optimize customer and business outcomes. Uses data analytics and AI tools to improve product discovery, decision-making, operational efficiency, and payment experiences. Presents strategies, business cases, risks, and recommendations to senior leaders.

Leads customer-facing electronic payment processing implementations from planning through execution. Coordinates cross-functional technical and non-technical teams, assesses customer requirements and system impacts, defines project scope, manages multiple projects, and serves as the central customer contact. Requires familiarity with payment authorization, clearing, settlement, transaction lifecycles, Mastercard systems, host interface testing, IT, networks, applications, and project management.

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.

Provide frontline technical support for LogicMonitor users by managing incoming chat and ticket cases through resolution within SLAs. Troubleshoot SaaS IT infrastructure management issues across Linux, Windows, networks, containers, and cloud platforms. Educate customers, advocate for their needs, collaborate with product, development, and customer success teams on escalations, and contribute to product enhancements and bug resolution.

Serve as the senior technical advisor for strategic enterprise accounts, designing observability architectures across multi-cloud, hybrid, edge, and AI environments. Lead cloud migration observability, agentic AI monitoring, network pathing analysis, API integrations, automation, executive architecture reviews, workshops, and technical escalations. Partner with Sales, Customer Success, Product, Engineering, and AI teams to influence roadmaps and deliver scalable customer solutions.

Leads the design, development, integration, and enhancement of IDE platforms and developer tooling. Owns plugins, extensions, integrations, coding workflows, build and debugging capabilities, testing, source control, deployment, automation, and developer productivity improvements. Partners with engineering, architecture, DevOps, platform, security, and product teams; makes technical architecture decisions; establishes engineering standards; and mentors engineers across complex tooling initiatives.

Build and maintain reliable, scalable Java and Go backend microservices for a cloud-native SaaS identity analytics product. Responsibilities include designing APIs, implementing features, writing unit and end-to-end tests, conducting code reviews, supporting AWS infrastructure, collaborating with stakeholders, leading small projects, participating in on-call support, and troubleshooting escalated system issues.

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.

Provides first-line support and troubleshooting for Cornerstone OnDemand and Letter AI. Builds AI agents and low-code automations with Copilot Studio and Power Automate, develops generative AI prompts, configures LMS features, tests releases, manages escalations, documents workflows, and tracks metrics to identify automation opportunities.

Leads architecture, automation, security, and administration of hybrid infrastructure across Linux, Windows, Kubernetes, Terraform, Azure, networking, and container platforms. Owns vulnerability remediation, patch management, incident response, cloud governance, and infrastructure standards. Mentors engineers, drives architectural decisions, partners with security and DevOps teams, and leads critical infrastructure initiatives from design through execution.

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

Develop and support integration solutions using IBM App Connect Enterprise and Azure. Responsibilities include participating in the SDLC, designing APIs and middleware services, analyzing requirements, conducting design and code reviews, supporting QA and UAT, troubleshooting production issues, documenting solutions, and contributing to CI/CD operations. The role also requires stakeholder collaboration, adherence to IT controls, and delivery across multiple projects.