Top Software Engineer Jobs in Pune

Design and ship Java, Go, and Rust services for NVIDIA Cloud Functions, a distributed platform routing AI workloads across GPU fleets. Improve performance, reliability, scalability, and cloud-native build and release processes. Collaborate across NVIDIA technologies, contribute to an open-source project, triage community issues, review pull requests, and write documentation. The role requires expertise in systems programming, distributed architecture, Kubernetes, containerization, Linux internals, scripting, and continuous integration.

Develop Windows-based automotive diagnostic applications using C#/.NET, WPF or WinForms, UDS, ISO-TP, CAN/CAN FD, and MVVM. Responsibilities include ECU diagnostics, firmware flashing, CAN hardware integration, UDS service implementation, checksum and CRC verification, and robust retry, timeout, and recovery handling. The role requires expertise in multithreaded software development, automotive communication protocols, and firmware formats.

Develop diagnostic desktop software for automotive ECU systems using C# and .NET. Build WPF or WinForms applications with MVVM, asynchronous programming, and multithreading. Implement and support UDS and ECU flashing functionality, integrating CAN, CAN FD, and ISO-TP communications through hardware APIs such as Vector XL, PCAN-Basic, Kvaser CANlib, Vehicle Spy, or NI-XNET.

Design, develop and maintain high-performance mainframe payment systems using COBOL, DB2, CICS, JCL and TWS. Lead technical solutions, drive automation and quality initiatives, coordinate across teams and present project metrics. Mentor junior engineers and support full lifecycle Agile development.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Designs, executes, and maintains UI, API, backend, and integration tests across systems, services, data flows, and dependencies. Establishes QA standards, supports automation and performance validation, troubleshoots complex technical issues, reviews source code, and integrates testing into CI/CD pipelines. Collaborates with product and engineering teams throughout the SDLC, manages requirements and release readiness, provides technical guidance, and communicates quality risks and insights to stakeholders.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Develop moderately complex C/C++/Qt software for computer-aided engineering applications. Responsibilities include designing new functionality, debugging and fixing defects, using configuration management and build tools, supporting Windows and Linux platforms, and providing technical information for user documentation. The role requires graphics and GUI development experience using OpenGL, VTK, and Qt, along with familiarity with CAD/CAE software and scripting.

Develops Cadence Adams MultiBody Dynamics software, including backend business logic, persistence, UI extensions, modeling objects, modernization, automated testing, build pipelines, debugging, and documentation. Collaborates across product teams in an Agile environment while improving software quality, usability, and cross-product integration. The role requires React, JavaScript, Python scripting, layered software architecture, AI-assisted development, and strong communication skills.

Design and implement the core front-end web application including onboarding, authentication, and quote/bind/pay flows with complex dynamic forms. Build reusable UI libraries and components, drive UI/UX best practices, introduce AI-assisted tooling, perform code reviews, improve system quality and scalability, and collaborate cross-functionally across the stack.

Develop and execute manual and automated tests for SaaS products, including regression, integration, performance, load, smoke, and user acceptance testing. Create test plans and automation scripts, track and retest defects, validate releases, document results, and collaborate with developers to resolve issues. The role also improves QA methodologies, maintains testing tools, and mentors junior QA team members.

Develop and deploy software and AI-powered capabilities for Microsoft’s commercial businesses. Responsibilities include designing solutions, using AI-assisted engineering workflows, analyzing telemetry, resolving technical issues, integrating copilots and agents, applying LLMs, prompt engineering, grounding, and RAG, and championing responsible AI through evaluations for safety, security, reliability, and quality.

Own end-to-end development of modules across Amtech’s AWS-hosted .NET/C# Cloud API and legacy 4D ERP platform. Design RESTful APIs, integrate AWS services, resolve complex business-logic issues, improve testing and reliability, maintain data integrity, participate in Agile ceremonies and code reviews, and mentor junior engineers. The role requires independent technical judgment across modern and legacy enterprise systems, with opportunities to use AI-assisted development tools.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, performance tuning, testing, code reviews, and cross-team collaboration. Mentor teammates and support operational excellence for analytics-driven experimentation platform.

Build and manage AWS infrastructure, Kubernetes deployments, GitOps CI/CD pipelines, data stores, observability systems, and incident response processes. The role supports multiple engineering and data teams, including managing MongoDB and Elasticsearch clusters, Grafana and Prometheus monitoring, IAM services, and scalable, highly available cloud-native systems.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Designs Salesforce solution frameworks, develops customized Apex and Lightning solutions, integrates systems through REST and SOAP APIs, configures Data Cloud and Agentforce, evaluates business processes, creates stakeholder proofs of concept, and manages project plans and performance. Supports Salesforce applications used for onboarding, pricing, contracting, sales, account management, and customer support.

Leads software engineering projects, develops complex software solutions, researches technical alternatives, and guides daily development activities. Responsibilities include programming, proof-of-concept development, roadmap creation, quality and process adherence, third-party evaluation, and collaboration with business and technical stakeholders. Requires strong Java-stack expertise, relational database and SQL skills, software design knowledge, Agile experience, and the ability to lead distributed teams.

Hands-on Java developer responsible for designing and implementing SDKs and API services for digital wallet solutions. Collaborate with product management and technical leads, integrate web services, build web and mobile browser applications, mentor engineers, perform code reviews, prototype new technologies, and ensure high code quality within an Agile delivery model.

Develop, test, deploy, troubleshoot, and refactor software components. Build Java and Spring Boot microservices with REST APIs and SQL, adopt new technologies and architecture patterns, contribute to requirements and team decisions, and support CI/CD automation. Collaborate with peers in an Agile environment using TDD and BDD while maintaining strong security, communication, analytical, and problem-solving practices.

Develops, enhances, and maintains IBM mainframe web applications using COBOL, JCL, DB2, IMS, and CICS. Translates business requirements into tested technical solutions, participates in Agile Scrum ceremonies and code reviews, supports CI/CD and automated testing, and collaborates with architects, product owners, and developers. The role includes documentation, production support, end-to-end solution ownership, and knowledge sharing.

Conduct rigorous software testing for iGaming products, including test planning, scripted and ad hoc testing, bug reproduction, documentation, and production QA sign-offs. Track defects in JIRA, verify live game functionality, use diagnostic tools, generate status reports, and collaborate with engineering, design, and art teams to resolve issues and deliver accurate results under tight deadlines.

Leads the design, development, and delivery of scalable full-stack Java applications using React or Angular. Establishes architecture, technical standards, APIs, microservices, security, resiliency, and zero-downtime production practices. Collaborates with product and cross-functional teams, provides technical leadership, estimates scope and timelines, and supports project delivery. The role also drives cloud-native development, DevOps automation, observability, release management, and adoption of generative AI solutions.

Design, develop, operate, and optimize large-scale software-defined networking solutions for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps integrations, and secure gRPC/REST services. The role owns production reliability, incident response, performance tuning, and upstream open-source contributions while collaborating with SRE, DevOps, and network engineering teams.