Top Software Engineer Jobs in India

Senior Software Test Engineer responsible for manual and automated testing across web, mobile, and API platforms. Designs test automation strategies using Playwright and related frameworks, performs API, database, performance, and validation testing, and supports quality in Agile, cloud, CI/CD, and DevOps environments. Requires strong SQL, Git, cloud platform, and AI experience, with collaboration across product and technology teams.

Build and maintain scalable full-stack Member Records products using TypeScript, React, and Node.js. Develop interfaces, backend services, APIs, and data models while improving reliability, security, observability, performance, and testing. Partner with Product, Design, Clinical, Quality, and engineering teams from technical discovery through production support. Participate in architecture reviews, incident response, technical debt reduction, and mentoring.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Architect, build, and operate Roku’s multi-cloud Kubernetes and service mesh platform. Develop Go and Python tooling, automate infrastructure with Terraform and Docker, improve reliability and observability, optimize shared-cluster costs, migrate workloads, and apply security and SRE practices. The role also involves building AI-powered agentic systems, researching new technologies, collaborating with engineering teams, mentoring colleagues, and defining infrastructure best practices.

Designs, develops, and maintains scalable software applications and services. Leads architecture and design reviews, writes high-quality Java code, improves performance, and ensures testing, security, and compliance. Provides technical leadership, mentors teams on AI-enabled engineering practices, supports Agile delivery, evaluates technical risks, and collaborates with product and program stakeholders. Maintains legacy systems while developing modern solutions using automation, CI/CD, and contemporary infrastructure technologies.

Lead full-cycle software engineering for .NET applications, including development, microservices, REST APIs, cloud deployment, CI/CD, test automation, monitoring, debugging, and troubleshooting. The role uses AWS or Azure, supports CI/CD platforms and deployment tools, builds automated testing strategies, and collaborates with application teams to maintain cloud platform stability and security. It also involves leading teams, driving process automation, and applying Agile, TDD, and BDD practices.

Provides technical leadership for large-scale cloud-native software projects, including architecture, microservices, Azure infrastructure, Kubernetes, Terraform, CI/CD, and production operations. Leads design reviews, code reviews, technical roadmaps, and engineering best practices. Evaluates responsible AI-assisted development tools, collaborates across product and engineering teams, resolves complex technical challenges, and drives scalable, secure, cost-efficient software delivery without direct people management.

Design, build and maintain APIs, services and distributed microservice systems across backend and frontend. Contribute to architecture, code reviews, CI/CD, observability and DevSecOps. Mentor junior engineers, collaborate cross-functionally, and evaluate AI-assisted engineering tools to improve development productivity and quality.

Support and continuously improve the secure software development lifecycle across cloud-native and on-premises products. Responsibilities include threat modeling, security reviews, vulnerability assessments, secure architecture guidance, DevSecOps enablement, secure coding training, security tool management, analysis of testing outputs, remediation guidance, and development of secure frameworks and controls.

The Lead Software Engineer - Network Automation will build, maintain, and automate infrastructure platforms ensuring reliability, security, and scalability through collaboration and expertise in network technologies.

Architect and implement OpenBMC-based management for server platforms integrating BMCs, host CPUs, and top-of-rack Ethernet switches. Develop D-Bus services, Redfish APIs, object models, telemetry, security, firmware, and L2 networking capabilities. Build backend abstractions supporting switchdev, SAI, SONiC, DENT, and vendor SDKs. Collaborate across hardware, security, firmware, QA, manufacturing, and networking teams to deliver reusable, testable platform-management architecture.

Leads automation initiatives for web and mobile applications by building Playwright-based test frameworks, expanding regression coverage, converting manual tests, and integrating automated testing into CI/CD pipelines. The role includes debugging failures, analyzing defects, documenting testing processes, collaborating with QA, development, and product teams, and advocating for automation best practices.

Own integrated DevOps and MLOps infrastructure for production AI/ML systems. Build training and retraining pipelines, CI/CD workflows, model versioning, monitoring, rollback, and A/B testing. Manage Kubernetes, containers, service mesh, and hybrid cloud/on-premise infrastructure. Lead on-premise AI deployment and establish governance, qualification, documentation, explainability, robustness testing, and regulatory compliance processes for safety-critical machine learning capabilities.

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.