Top Tech Jobs & Startup Jobs in Pune

Develop production frontend applications using React and TypeScript. Build reusable components, manage application and server state, implement routing, forms, validation, authentication, and REST API integrations. Create responsive, accessible, data-intensive interfaces with complex tables and visualizations. Write unit, component, and end-to-end tests; debug performance issues; use Git, CI/CD, and modern build tools; and collaborate with backend, UX, QA, and business teams.

Manage programme financials, budgeting, forecasting, cost tracking, roadmaps, resource allocation, RACI frameworks, delivery governance, risks, issues, stakeholder reporting, and cross-functional collaboration. Ensure programme alignment with strategic objectives, delivery timelines, financial controls, and resource commitments while removing blockers and maintaining delivery visibility.

Designs, develops, and maintains scalable batch and streaming data pipelines using Python, Scala, Spark, and Databricks. Responsibilities include optimizing large-scale data workloads, building ETL/ELT processes, modeling data warehouses and lakes, implementing data quality and governance standards, troubleshooting production issues, and collaborating with architects, analysts, and data scientists.

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.

Develop and test high-performance software for Mastercard’s real-time decision management and fraud prevention platform. Drive quality engineering practices, automate acceptance, integration, functional, and non-functional testing, and improve CI/CD and release processes. Collaborate with developers to build reliable, performant, and testable systems using Java, microservices, cloud technologies, and observability tools. Mentor team members while remaining hands-on in development and test automation.

Lead the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native applications, and agentic AI workflows. Design scalable solutions using Java, Spring Boot, AWS, event-driven architectures, and modern data platforms. Drive modernization, observability, security, reliability, automation, and engineering standards. Mentor engineers, lead technical initiatives, influence platform strategy, and collaborate across product, security, operations, and architecture teams.

Architect, develop, and maintain scalable SaaS software using C# and .NET. Collaborate with product, design, support, and professional services teams to deliver solutions, resolve customer issues, and improve platform architecture. Lead code reviews, mentor engineers, participate in Agile processes, and drive modernization through microservices, serverless, and event-driven patterns. Integrate third-party APIs and use AI-powered development tools and agent orchestration to improve productivity and code quality.

Lead the technical direction, architecture, training, fine-tuning, evaluation, and production deployment of LLM and agentic AI systems for cybersecurity products. Optimize inference at scale, establish engineering standards and release evaluations, make model strategy decisions, resolve complex technical trade-offs, and mentor senior engineers. The role remains hands-on while influencing cross-team product and platform investments.

Leads enterprise AI products, programs, and operating-model workstreams from strategy through execution. Owns roadmaps, intake prioritization, KPIs, ROI measurement, operating rhythms, and executive scorecards. Partners with IT, Data, Change Management, and business functions to scale AI assistants, agent platforms, MCP integrations, and reusable enterprise capabilities. Drives adoption, AI fluency, governance, cross-functional alignment, and measurable transformation outcomes without direct authority.

Develops advanced statistical models and custom analyses using analytics tools to guide client decision-making. The role communicates findings through presentations, builds client relationships, provides project updates, creates deliverables, implements solutions, and mentors Associates. Candidates need a quantitative academic background, programming or analytics-tool proficiency, strong communication skills, and up to three years of relevant experience.

Architect and deliver high-performance Angular-based UI experiences for SailPoint’s cloud SaaS product. Build responsive TypeScript components, define REST API contracts with microservices teams, resolve customer UI issues, improve frontend architecture and automated test coverage, and prevent critical regressions. The role also includes mentoring engineers, collaborating with UX and Product Management, estimating quarterly epics, and leading frontend architecture planning in an Agile environment.

Design, build, and operate production AI services, agentic workflows, and LLM-powered features. Responsibilities include developing Python APIs and microservices, implementing RAG and vector search, optimizing model inference, integrating event-driven systems, deploying services on Docker and Kubernetes, monitoring reliability, managing CI/CD and testing, and partnering with frontend teams to deliver end-to-end AI products.

Leads advanced crashworthiness and NVH simulations for automotive seating systems using LS-DYNA and OptiStruct. Ensures compliance with global safety regulations, supports simulation-driven design optimization, mentors junior analysts, collaborates with global teams, and guides suppliers in delivering robust, lightweight, cost-effective seating solutions.

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.