Top Software Engineer Jobs in India

Lead full‑stack development within a Scrum team for Collateral product capabilities: design, prototype, implement, and test features; define technical requirements and test strategies; ensure CI/CD and cloud deployments; mentor engineers; drive automation, tooling, and responsible AI usage.

The Software Development Engineer will lead backend system design and development, solve complex technical challenges, mentor engineers, and ensure high standards for system quality and performance.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

The Senior Software Engineer role involves developing software solutions using .NET technologies, with responsibilities including MVC, APIs, and integration with databases.

Design, develop, and support scalable endpoint security solutions (runtime security, EPP/anti-malware, telemetry, threat detection). Own feature lifecycle: design, implementation, testing, debugging, performance optimization, release support, and collaborate with QA and stakeholders across OS platforms.

Own quality across the order lifecycle including trade execution, delivery estimates, cancellations/returns, chat, buyer-seller communication, and RBAC APIs. Design and execute functional, regression, end-to-end, database, performance, load, and security tests; develop and maintain backend/web/mobile test automation; collaborate with engineers and product managers; define test plans and drive QA best practices.

As a Senior Staff Software Engineer at Druva, you will lead the design and implementation of scalable cloud file systems while collaborating with product teams to refine requirements and deliver high-quality software.

Design, develop, test, deploy, and maintain cloud-native enterprise identity solutions. Collaborate on architecture and requirements, refactor and debug code, support applications, document SDLC artifacts, and follow agile practices while mentoring and driving delivery improvements.

Seeking a software engineer for the Pegasus Physical Verification System to design and develop verification software, focusing on DRC, LVS, and related tools.

Develop and support verification libraries for various architectures, analyze customer requirements, and collaborate with team members while ensuring sound problem-solving and communication skills.

Lead the development of mobile test automation, designing frameworks, integrating CI/CD, and performing API and database testing using Agile methodologies.

Lead verification and validation activities for clinical study software, review and approve CSV/test documentation, design and execute functional/integration/regression/performance tests, manage defects and test environments, coordinate test efforts across teams (including offshore), support audits and regulatory requests, and mentor team members to improve testing processes and quality.

Own and execute quality strategy across the product. Lead test automation, CI/CD integration, integration and performance testing, mentor engineers, troubleshoot complex issues, and drive AI-enabled quality engineering and tooling.

Lead design, build, and support of Kinaxis Maestro advanced planning solutions. Perform fit-gap analysis, configure Maestro modules, develop integrations, troubleshoot complex issues, monitor performance, manage incidents, and support users and knowledge management within an onsite/offshore delivery model.

The Staff Software Engineer will lead backend system design and optimization for Ads, mentor engineers, and enhance performance and scalability through AI-driven solutions.

Design, build, and operate scalable, highly available infrastructure and services (Trino, Spark, Kubernetes). Mentor engineers, own systems, write production code, improve reliability, automation, and observability.

Lead design, implement, and test cloud-native datacenter networking solutions. Build automation and observability tooling, author tests integrated into CI/CD, drive architecture decisions, mentor engineers, and ensure production quality for large-scale networking products.

Join HPE Datacenter Networking as an entry-level DevOps-focused software engineer to design, develop, troubleshoot, and test cloud-native and distributed systems. Contribute to features and subcomponents, work with CI/CD, infrastructure tooling, and observability, and learn from senior engineers while participating in design and cross-functional collaboration.

The SDET/Senior SDET will develop and refine quality strategies, mentor team members, and enhance automation frameworks using Python and Javascript.

Design, develop, and maintain scalable web applications and APIs across the full software lifecycle. Collaborate with cross-functional teams to analyze requirements, implement solutions, ensure secure coding, support high-availability production systems, and contribute to engineering processes, documentation, CI/CD, testing, and team growth.

Design, develop, and maintain cloud-native services and APIs; migrate categorisation and analytical models from Azure to AWS; build and optimize CI/CD pipelines and IaC; manage containerized workloads (Docker, Kubernetes, ECS); troubleshoot production issues; collaborate with security, risk, and compliance teams; participate in Agile ceremonies and code reviews to improve engineering practices.

Provide technical leadership and architectural oversight across engineering domains. Ensure cloud-native, secure, scalable microservices aligned with governance. Coach and develop engineers, drive measurable improvements using technical metrics, support compliance remediation, and collaborate with senior partners on roadmaps and cross-domain delivery.

Develop, maintain, and modernize enterprise Java/J2EE applications; deploy and troubleshoot on WebLogic/JBoss in Linux environments; automate with shell scripting; support ETL/data pipelines and mainframe integrations; collaborate on AWS cloud migration, CI/CD, and cross-functional delivery while ensuring performance, security, and scalability.

Design, build, and deploy end-to-end AI/ML and generative solutions (RAG, chat/assistants, classification, forecasting, recommendations). Engineer domain knowledge bases, ensure compliance and responsible AI, prepare unstructured data, design retrieval and prompt/agent systems, evaluate/monitor models, generate synthetic data, and partner across product, operations, and platform teams for scalable production integration.

Own, administer, secure, and operate the enterprise ArcGIS platform hosted in AWS across Windows and Linux. Maintain enterprise geodatabases, automate ETL and data workflows with Python/PowerShell/ArcPy, publish spatial services, troubleshoot Tier-3 issues, apply security best practices (AD/IWA/SAML), and produce documentation and SOPs. Drive platform stability, scalability, and integration with infrastructure and database teams while leveraging AI tools to improve workflows.