Top Software Engineer Jobs in Pune

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.

Develops and enhances ServiceNow scoped applications and platform modules, including new features, components, APIs, and web capabilities. Responsibilities include client- and server-side scripting, testing, troubleshooting, documentation, release processes, technical support, and collaboration with engineering, QA, product, and architecture teams. The role also requires producing configurable, modular, accessible software and applying Scrum-based application development lifecycle practices.

Design, build, and optimize high-performance full-stack applications for web, desktop, mobile, and TV platforms. Develop responsive native and web interfaces using Angular, React, JavaScript, and related technologies; consume RESTful APIs; improve reliability, scalability, security, and cross-platform performance; create CI scripts; and collaborate with product, design, operations, and architecture teams.

Develop, modernize, integrate, test, deploy, and support critical insurance applications using Java and React. Own production stability, incident resolution, root cause analysis, performance optimization, releases, documentation, and knowledge transfer. Collaborate with product, business, infrastructure, and Agile teams on secure, scalable solutions. Apply unit testing, automation, CI/CD, DevSecOps, architecture practices, and AI-enabled development tools while supporting legacy platform modernization and operational continuity.

Owns the design, development, modernization, deployment, and operation of production software systems. Responsibilities include incrementally decomposing monoliths into scalable services, maintaining API and data compatibility, improving reliability and performance, implementing automated testing, operating AWS cloud services, monitoring production systems, participating in 24/7 on-call, and using AI-assisted development tools.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.

Develop scalable backend services and identity recovery capabilities for Active Directory, Microsoft Entra ID, and Okta across on-premises and SaaS environments. Design architecture, APIs, distributed systems, and cloud-native services; integrate AI for recovery automation and anomaly detection; support customer issue resolution; and collaborate with product and engineering leadership. Mentor engineers while advancing secure, high-quality identity security products.

Participate in developing and maintaining core products, implementing business-module interface documentation, troubleshooting QA-reported issues, and supporting customer-service teams with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware experience, strong communication skills, and collaboration in a global blockchain environment.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and assisting customer support with problem resolution and system improvements. The role requires Java and Spring microservices knowledge, database and middleware familiarity, strong communication, teamwork, and logical problem-solving skills.

Designs and maintains scalable test automation frameworks for UI, API, integration, performance, and end-to-end testing. Builds reusable testing tools and libraries, integrates automation with CI/CD pipelines, validates cloud-native distributed systems, and supports quality strategy and metrics. The role involves testing APIs, microservices, queues, databases, and asynchronous workflows, documenting technical solutions, mentoring SDETs, and improving engineering practices.

As a Software Engineer II in Quality Engineering, you will drive quality practices, collaborate with developers, enhance test automation, and ensure software reliability and performance in Agile environments.

Senior backend-focused engineer responsible for designing and delivering features in Go and React, building scalable distributed architectures, mentoring teammates, coordinating with product and business stakeholders, instrumenting production systems, and leading small teams to ship high-quality APIs and services.

Develop and maintain Java web applications using legacy J2EE and modern microservices architectures. Build reusable backend code and responsive interfaces with JSP, JavaScript, React, and related frameworks. Perform code reviews, unit testing, test automation, API development, and database integration. Lead high-performing onsite and offshore teams, support enterprise clients, communicate with stakeholders, and deliver end-to-end solutions using Agile practices.

Lead quality engineering for membership and loyalty capabilities, designing and executing functional, integration, API, contract, automation, and end-to-end tests. Build reliable test suites, validate loyalty points and personalized recommendations, manage test data, ensure cross-browser and cross-device quality, define testing strategies, and improve coverage using AI-assisted tools. Collaborate with engineering and product teams throughout the software development lifecycle while leading quality engineers in the loyalty and personalization area.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Build Gather AI’s data foundation from scratch by creating PostgreSQL extraction pipelines, dbt models, semantic metrics, data quality controls, tenant isolation, lineage, and documentation. The role includes warehouse data movement, ingestion-boundary validation, CI/CD delivery, safe backfills, on-call ownership, and collaboration across product, ML, security, and integration teams. Engineers will initially support the Drone product and later expand the platform to additional robotics and warehouse products.

As a Lead Software Engineer, you will design and develop microservices, build full-stack applications, ensure code quality, and collaborate with team members in an Agile environment.

The Senior Software Engineer role involves full stack development, test automation, and quality assurance activities, ensuring software meets business standards and security requirements. Responsibilities include test planning, defect management, mentoring junior members, and improving processes.

Responsible for developing software solutions, leading system development activities, ensuring quality control, and mentoring team members while adhering to standards and best practices.

Lead software engineering projects, creating solutions and mentoring teams. Manage day-to-day activities to meet service level agreements and identify opportunities for enhancements. Ensure QA processes compliance throughout SDLC, support compliance audits, and educate the team on security responsibilities.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.