Top Software Engineer Jobs in India

Lead the architecture and modernization of C#/.NET test automation for Kubernetes-based distributed applications. Design reusable test libraries, API and integration testing, CI/CD quality gates, diagnostics, and resilience validation. Investigate complex failures using logs, metrics, traces, and Kubernetes evidence. Establish risk-based testing strategies, reduce flaky tests, improve execution efficiency, influence product testability, and mentor engineering teams across the organization.

Lead architecture, design, development, and delivery of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, architecture reviews, technical strategy, cross-team execution, system reliability, security, observability, and continuous delivery while mentoring engineers and collaborating across globally distributed teams.

Develops and maintains software applications for Mastercard’s Data Governance and Regulations program. Responsibilities include designing solutions, analyzing requirements, coding, testing, documenting, troubleshooting, improving operations, and following the SDLC in an Agile, cross-functional environment. The role requires collaboration across distributed teams, strong communication, and expertise in Java, Spring Boot, REST APIs, NoSQL databases, JSON, PCF cloud technologies, and Angular.

Leads architecture, development, and operational support for scalable transaction lookup APIs and data services. Designs Java microservices, optimizes Oracle and big-data platforms, establishes API and security standards, and drives Kubernetes modernization, CI/CD, observability, reliability, and performance improvements. Partners with product and engineering teams, leads technical design and incident resolution, defines roadmaps, mentors engineers, and promotes engineering excellence across initiatives.

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 and operates distributed telemetry infrastructure, Kafka streaming pipelines, ClickHouse data platforms, Kubernetes deployments, and production services. The role owns observability, incident response, on-call operations, APIs, data modeling, and full development lifecycles. It also contributes to analytics interfaces, client SDKs, AI-enabled features, and cross-team technical leadership through architecture, mentoring, automation, code review, and postmortems.

Develop and maintain scalable, reliable backend microservices and REST/GraphQL APIs for SailPoint’s cloud-native identity security SaaS platform. Responsibilities include API strategy, system design, Java development, testing, code reviews, cloud deployment, stakeholder collaboration, production support, and leading small projects. The role also involves working with AWS, event-driven architecture, observability tools, and multi-tenant systems while mentoring less experienced engineers.

Develop and maintain software testing strategies, plans, executions, and automation frameworks for HPE Hybrid Cloud products. Build Python-based automation tools, perform functional, regression, scale, and data-path testing, troubleshoot complex issues, and collaborate with distributed Agile teams. The role requires knowledge of system engineering, AI workflows, storage technologies, networking, containerization, CI/CD, Linux, and virtualization environments.

Build and maintain full-stack features using React, Next.js, TypeScript, Java, and Spring Boot. Develop secure REST APIs, real-time analytics interfaces, dashboards, and data visualizations. Integrate Databricks and SQL-based platforms, optimize scalability, implement automated testing, and support Kubernetes-based cloud deployments. Collaborate with data engineers, product managers, designers, and stakeholders while contributing to architecture, observability, code reviews, and continuous engineering improvement.

Leads live site management, AWS cloud production operations, SRE practices, observability, incident response, resiliency, and cloud cost optimization. Establishes service health metrics, production readiness standards, runbooks, and operational controls. Guides architecture strategy and promotes secure, compliant AI-assisted engineering practices, including validation of AI-generated outputs and adoption of automation across engineering teams.

Leads complex software engineering and AI automation initiatives. Designs, develops, tests, and deploys scalable intelligent workflows, AI agents, copilots, document-processing solutions, conversational interfaces, and RAG-based enterprise knowledge systems. Integrates AI services with enterprise applications and data sources using Microsoft Power Platform, Python, APIs, and cloud technologies. Establishes engineering standards, ensures governance and security compliance, mentors teams, and collaborates with technical and cross-functional stakeholders.

Leads software engineering initiatives, designing, developing, testing, debugging, documenting, and deploying high-performance Java applications. Provides technical leadership, resolves complex challenges, guides less experienced engineers, and contributes to modernization and transformation efforts. The role emphasizes Java, Spring, REST APIs, microservices, cloud, DevOps, databases, and real-time data technologies, with financial services experience in prime brokerage or capital markets preferred. The position requires working in-office in Bangalore or Hyderabad.

Leads development of production-grade agentic AI systems, including LLM orchestration, RAG pipelines, vector databases, and MCP integrations. Designs secure software, cloud-native deployments, CI/CD pipelines, and automation solutions from proof of concept through production. Translates regulatory and business requirements into technical designs, mentors cross-functional teams, and promotes responsible AI-assisted engineering practices with strong validation, security, testing, and resiliency standards.

Designs, builds, and operates backend platforms, Kubernetes infrastructure, distributed services, and cloud-native systems at scale. The role owns platform initiatives from architecture through deployment, improves CI/CD and engineering quality, collaborates with product, AI, and security teams, and mentors engineers. Responsibilities also include integrating applied AI tooling, developing infrastructure-as-code, and driving reliability, performance, observability, and engineering productivity.

Lead front-end development using React.js and CSS to build responsive, usable customer-facing pages. Provide application and infrastructure support, collaborate with globally distributed engineering teams, contribute to complex projects, develop new concepts and techniques, and help plan and deploy software releases. The role requires strong knowledge of web standards, cross-browser compatibility, browser performance, responsive design, and collaborative software development.

Designs, develops, integrates, customizes, and supports software applications using .NET Core, Web API, microservices, SQL, and Azure. Analyzes requirements, manages updates and releases, troubleshoots technical issues, collaborates with QA and cross-functional teams, mentors junior engineers, provides technical leadership, conducts user training, and incorporates market research into project strategies.

Lead test automation, SRE, DevOps, and infrastructure automation initiatives for Mastercard’s cloud-native Priceless Platform. Build automated testing frameworks, CI/CD integrations, observability, monitoring, and deployment automation. Improve reliability, scalability, security, and release velocity through chaos engineering, performance testing, capacity planning, incident response, and disaster recovery practices. Mentor engineers, lead technical reviews, support production systems, and foster shared ownership and continuous improvement.

Lead the architecture, design, development, and delivery of scalable, cloud-native experimentation and analytics software. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, cross-team execution, security, reliability, observability, and continuous delivery while mentoring engineers and collaborating across global teams.

Design, develop, test, and deploy scalable full-stack applications. Build responsive front-end interfaces, Java and Spring Boot microservices, relational database solutions, automated tests, CI/CD pipelines, and containerized deployments. Collaborate with cross-functional teams using Agile methodologies, troubleshoot technical issues, optimize code, and support high-concurrency enterprise environments.

Leads the design, development, and delivery of complex AI-native and cloud-native systems across frontend, backend, and AI engineering. Builds LLM evaluation infrastructure, retrieval systems, guardrails, testing, and observability. Drives architecture, technical initiatives, quality standards, and platform improvements while mentoring engineers and collaborating with product managers. Makes trade-offs involving scalability, reliability, latency, cost, and model quality, and owns solutions through implementation, testing, and production delivery.

Lead design, build, deployment, and support of IBM Planning Analytics/TM1 solutions on AWS. Architect TM1 models, develop PAW/PAfE artifacts, manage TI processes and integrations, establish governance and SDLC controls, lead a TM1 team, drive AI-assisted engineering adoption, and partner with business stakeholders to optimize planning processes and ensure compliance and resiliency.

Leads AWS cloud architecture and site reliability engineering for business-critical production services. Defines SLI/SLO practices, error budgets, observability, capacity planning, incident response, and production readiness standards. Drives root-cause analysis, durable remediation, cloud cost optimization, automation, and operational risk reduction across engineering teams. Promotes responsible use of approved AI-assisted development tools while ensuring correctness, security, resiliency, and compliance.

Design, build, and scale infrastructure software, APIs, developer platforms, and self-service tools. Automate provisioning, configuration, deployment, and runtime operations while reducing engineering toil. Apply software engineering best practices, develop observability and self-healing systems, maintain reliability, and collaborate with Security, Systems, and Product Engineering teams. The role focuses on backend systems, infrastructure automation, CI/CD, testing, and scalable developer tooling.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Support and enhance SAP Concur Expense and Travel systems, including configuration, reporting, API integrations, and boundary-system connectivity through Boomi. Gather requirements, design and develop secure, testable solutions, create Cognos reports, provide ongoing application support, and collaborate with business stakeholders and project teams. Ensure compliance with development methodologies, security standards, estimates, testing, documentation, and Mastercard policies.