Top Software Engineer Jobs in India

Performs end-to-end manual testing across software, firmware, hardware, and integration layers. Responsibilities include creating test scenarios and cases, executing functional and regression testing, validating APIs and databases, testing firmware upgrades, troubleshooting defects, analyzing logs, supporting release readiness, and collaborating with development and product teams.

Designs, develops, tests, deploys, and maintains scalable MuleSoft integrations and APIs. Builds enterprise integrations across platforms such as Salesforce, SAP, ServiceNow, Workday, NetSuite, databases, and third-party systems. Develops reusable APIs, DataWeave transformations, security controls, error-handling frameworks, and shared assets. Supports CI/CD, code reviews, performance optimization, production support, and root cause analysis while collaborating with stakeholders and mentoring junior engineers.

Designs, builds, tests, deploys, and supports AI-first, cloud-native solutions on Microsoft Azure. Develops applications, APIs, microservices, automation, and background services using C#, .NET, Python, and JavaScript/TypeScript. Implements Azure infrastructure, databases, messaging, CI/CD, containers, monitoring, and infrastructure as code. Integrates Azure AI and Generative AI capabilities, including Copilot, RAG, embeddings, and agentic workflows, while applying security, scalability, reliability, and responsible AI principles.

Develop and maintain PDI software products, participate in application design, troubleshoot and debug issues, perform engineering-level testing, and collaborate with Product Owners and QA Engineers in an Agile environment. The role includes estimating feature work, documenting solutions, assessing project risks, validating requirements, and applying software engineering fundamentals across web stacks and relational databases.

Develop and maintain Dynamics 365 Business Central and NAV ERP solutions. Responsibilities include AL extension development, integrations using APIs, web services, and .NET, troubleshooting, performance improvements, code reviews, technical documentation, production support, and collaboration with Product, QA, and Functional teams in an Agile environment.

Leads Site Reliability Engineering for large-scale AWS cloud platforms, driving architecture, technical roadmaps, reliability, scalability, security, observability, automation, and operational excellence. Designs infrastructure, troubleshoots production issues, performs root-cause analysis, develops platform capabilities in Python or Go, mentors engineers, and collaborates with product, engineering, security, and customers to deliver highly available SaaS systems.

Build and own full-stack product features from requirements through deployment. Develop accessible React and TypeScript interfaces, scalable Node.js and Express backend services, APIs, and data models. Collaborate with product, design, and platform teams, use analytics to measure outcomes, maintain code quality through testing and documentation, and improve engineering processes, technical debt, and user experience.

The Lead Software Engineer is responsible for information security, adhering to policies, and ensuring secure access to Mastercard's digital payment systems.

Design, develop, test, operate, and maintain full-stack software products. Write production-ready code, create scalable and reliable technical designs, analyze failures, conduct code reviews, and follow security, compliance, and software reliability practices. Collaborate with engineers, product owners, scrum masters, vendors, and customers while supporting agile delivery, DevOps principles, continuous improvement, and the bank’s technology transformation.

Develop and maintain Node.js backend APIs, integrate vendor products with internal platforms, and build orchestration layers. Responsibilities include database optimization, indexing, entity and document data management, API security, scalability, performance, testing, code reviews, and documentation. The role requires collaboration with cross-functional teams and work from the Hyderabad office during EMEA hours.

Design, develop, and test scalable cloud-native software for product data integrations. Build REST APIs, data import/export components, mappings, and transformation logic using Microsoft Azure services. Troubleshoot integrations and data pipelines, write automated tests, participate in code reviews, and collaborate with Product, QA, and DevOps teams on CI/CD and deployments. Work in an Agile environment and contribute to medium-complexity projects while supporting platform reliability and observability.

Develop Python-based test frameworks and CI/CD automation for NVIDIA Metropolis AI and video analytics workflows. Build functional, integration, system, and end-to-end validation across cloud, data center, workstation, and edge platforms. Validate distributed microservices, GPU deployments, video search and summarization, AI agents, and computer vision pipelines. Benchmark accuracy, latency, scalability, and reliability while using Docker, Kubernetes, Helm, and AI-powered tools to improve testing, debugging, coverage, and regression analysis.

Supports software design and coding while learning the codebase, maintaining code, fixing minor bugs, monitoring internal systems, responding to developer requests, gathering user feedback, writing reports, and conducting development tests. The role provides six months of training before potential placement as a Software Engineer based on assessment.

Develop and maintain full-stack applications using ReactJS and NestJS or Spring Boot. Build responsive user interfaces, server-side logic, APIs, microservices, and database integrations. Participate in planning, coding, testing, deployment, debugging, and software upgrades. Collaborate with designers and cross-functional teams to deliver scalable features, ensure platform compatibility, and apply modern development practices.

Build, test, and maintain backend and/or frontend features for a cloud-native SaaS platform. Develop and consume REST APIs, write well-tested maintainable code, participate in design and code reviews, troubleshoot production issues, and collaborate with product, design, and QA. Learn and apply AI-assisted development and cloud-native practices.

Design and develop C/C++ control-plane services for firewall platforms, including management APIs, configuration frameworks, CLI, SSH access, logging, diagnostics, authentication, SSL/TLS, certificate management, content filtering, SNMP telemetry, licensing, and vulnerability remediation. Debug embedded Linux systems, apply secure coding practices, and lead technical discussions across cross-functional teams.

Design, develop, test, and deliver full-stack web applications. Work across backend (.NET/C#, SQL) and frontend (HTML5/CSS3/JavaScript + Angular/Vue/React), follow SDLC, write unit tests, optimize performance, and collaborate with stakeholders to solve product problems.

Build and maintain low-latency, highly available card transaction systems on a distributed hybrid-cloud platform. Develop RESTful microservices using Java/Go, implement service mesh and tracing, collaborate in agile/DevOps teams, and work with stakeholders to analyze requirements and adopt new technologies.

Coordinate software projects, train administrators, students, and faculty, provide end-user support, diagnose and troubleshoot account and network issues, guide customers through resolutions, escalate unresolved problems to development teams, and participate in business meetings.

Develop and optimize on-device AI inference stacks and runtimes for RTX and DGX systems. Collaborate with cross-functional teams to design high-performance, memory-efficient inference pipelines, apply model optimizations (quantization, pruning, distillation), perform system-level debugging and performance tuning, and build infrastructure for performance/accuracy evaluation and production readiness.

Design, develop, debug and sustain networking software for routers/switches. Implement complex packet-forwarding features (IPv4/IPv6, MPLS, EVPN-VxLAN, multicast, DHCP, firewall/CoS), troubleshoot microkernel/Linux issues, collaborate with customer-facing teams, and work with cross-functional teams to drive product quality and customer issue resolution.

Design, build, and maintain Citi’s large-scale XiP risk calculation platform. Lead improvements to distributed calculation and parallelization mechanisms, optimize performance and resource utilization, implement scalable features, and coordinate strategic platform changes. Collaborate with engineers, DevOps, customers, and stakeholders in an Agile/Scrum environment to support reliable, secure, and highly scalable operations.

Build and operate scalable Rewards and Redeem Platform applications across Java backend services, Angular frontends, AWS cloud infrastructure, APIs, and legacy modernization efforts. Responsibilities include architecture, implementation, testing, deployment, observability, production support, CI/CD improvements, AI-assisted development, technical collaboration, and mentoring. The role requires ownership of secure, resilient distributed systems and continuous improvement of engineering practices and developer experience.

Build and operate scalable backend services and APIs using Java and Spring Boot for an AI-powered servicing platform. Develop AI assistants, chat-based self-service, and agentic workflows; expose capabilities through platform APIs; and prototype emerging solutions. Improve observability, reliability, performance, and telemetry using New Relic, Splunk, and OpenTelemetry. Own features through design, development, testing, deployment, and production readiness, while collaborating with platform and reliability teams.

Develop and support full-stack features across APIs, services, databases, frontend, and infrastructure. Participate in product development, architecture, testing, code reviews, production support, and engineering escalations. Build reliable microservices and containerized applications using Node.js, cloud platforms, Kubernetes, and GitOps tooling. Collaborate with Android engineers, product owners, stakeholders, and users throughout discovery, delivery, integration, and ongoing improvement.