Top Software Engineer Jobs in India

Develop and maintain scalable full-stack microservices using Java, Spring Boot, event-driven architecture, and cloud technologies. Apply SOLID principles, coding best practices, CI/CD, and appropriate persistence mechanisms. Collaborate across teams in an Agile environment, conduct proofs of concept, ensure code quality, and mentor junior developers.

Build and improve backend applications and distributed systems, leading complex projects from technical design through launch. Responsibilities include solving architecture challenges, establishing standards, reviewing code, documenting systems, fixing high-risk bugs, collaborating across engineering teams, mentoring junior engineers, and transitioning expertise to Java development while considering scalability, performance, robustness, and customer impact.

Lead the architecture and development of secure, scalable microservices and cross-platform applications using C#, .NET, Go, and TypeScript. Design enterprise PAM and IDAM integrations, implement Zero Trust and least-privilege controls, own CI/CD and automated testing, and establish observability and reliability practices. Champion AI-assisted engineering workflows, mentor engineers, review RFCs, manage technical debt, and participate in incident response and on-call operations.

Architects and delivers native Swift and Kotlin mobile security features for authentication, password management, and identity verification applications. Implements biometrics, secure storage, autofill, encryption, and OIDC/OAuth2 integrations. Owns mobile testing, CI/CD, app-store releases, telemetry, incident response, and troubleshooting. Mentors engineers, reviews RFCs, and guides AI-assisted development workflows. Participates in on-call rotations and collaborates with backend platform teams.

Technical lead for Ethoca Smart Subscriptions building cloud-native, high-scale, API-driven microservices and full-stack features. Deliver end-to-end product development, ensure NFRs, mentor engineers, drive automation, architecture decisions, and collaborate with global stakeholders.

Develops and delivers secure, mission-critical software solutions from design through deployment. Responsibilities include writing and reviewing code, testing, debugging, CI/CD automation, API and service integration, architecture development, release orchestration, operational improvements, and incident mitigation. The role collaborates with product stakeholders, manages delivery risks and metrics, conducts demonstrations, drives engineering standards, and mentors less-experienced engineers.

Leads full-stack software development and quality engineering for Mastercard’s Global Data Repository. Designs automated testing frameworks, performs unit, integration, exploratory, cross-browser, and cross-device testing, and integrates test automation with CI/CD and code coverage tools. Participates in requirements, architecture, code reviews, defect management, metrics, and Agile delivery. Provides technical leadership and mentorship while ensuring software meets business, security, performance, and quality standards.

Designs, develops, and delivers secure, high-availability software services for Mastercard’s small-business products. The role owns complex cross-service problems, writes and reviews production code, drives automation and CI/CD, improves architecture and operational reliability, supports incident learning, and guides technical decisions. It also includes mentoring engineers, conducting technical interviews, partnering cross-functionally, and contributing to roadmaps, testing, security scanning, and performance optimization.

Leads the design, development, and delivery of secure, scalable Java full-stack solutions for Mastercard’s globally distributed operational insights products. Mentors junior engineers, supports agile delivery, collaborates with architecture and technology teams, evaluates technical alternatives, and helps execute technology strategy. The role requires Java web services, microservices, relational and non-relational databases, large-scale data processing, cloud and DevOps architecture, and strong communication skills.

Designs, builds, secures, and governs enterprise APIs and cloud-native microservices using Java, Spring Boot, Python, and AWS. Defines API standards, OpenAPI specifications, security practices, testing strategies, and distributed-system patterns. Develops reusable frameworks, SDKs, and platform capabilities while collaborating with product, architecture, security, and engineering teams. Contributes to code reviews, incident resolution, modernization, automation, and long-term API architecture strategy.

Develop and maintain Java-based backend solutions for mission-critical payment platforms. Collaborate with distributed Scrum teams in a SAFe environment, support production systems, resolve defects, improve reliability, and contribute to automation and engineering best practices. The role requires Java, Oracle, Spring Boot, testing frameworks, SQL, frontend familiarity, DevOps tooling, and experience with Agile delivery. REST, messaging, event-driven systems, security, payments, and high-availability platforms are desirable.

Develop and maintain Oracle database solutions for high-availability payment platforms. Write complex PL/SQL, tune SQL performance, support data modeling, migration, quality, and ETL processes, and manage production reliability. Implement automated database deployment and release pipelines while collaborating with distributed Agile teams. Contribute to application development, defect resolution, automation, engineering improvements, and enterprise standards. Experience with Exadata, Java, test automation, and financial services is desirable.

Leads complex software engineering projects, designs and implements secure, scalable solutions, and provides architecture guidance. Writes and reviews code, drives automation, CI/CD, testing, performance optimization, incident reduction, and cross-service integration. Researches technologies, develops roadmaps, mentors engineers, conducts technical interviews, and collaborates with product and business stakeholders to prioritize improvements and deliver high-quality applications.

Leads enterprise-scale software engineering initiatives, architecture strategy, cloud-native modernization, and AI-assisted development. Designs scalable APIs, microservices, distributed and event-driven systems; drives security, reliability, testing, observability, and DevSecOps practices. Partners with cross-functional stakeholders, evaluates emerging technologies, resolves complex production issues, and mentors engineers. Requires strong Java and Spring Boot expertise, cloud experience, software architecture knowledge, and leadership across multiple engineering teams and programs.

Design, develop, test, and deploy enterprise Java applications using Spring Boot, Azure, SQL Server, REST APIs, and microservices. Integrate generative AI capabilities, support CI/CD pipelines, optimize performance, troubleshoot production issues, participate in code reviews, and collaborate on architecture and delivery.

Develop and maintain responsive React user interfaces using TypeScript, JavaScript, HTML, and CSS, while supporting Java Spring Boot and Python development. Responsibilities include front-end architecture, performance monitoring, debugging, browser-based testing, code reviews, deployment support, QA defect resolution, source control, documentation, and delivery of technical artifacts. The role also requires daily use of AI tools, GitHub Copilot, Microsoft 365, and related development workflows.

Design, develop, test, and deploy enterprise Java applications using Spring Boot, Azure, REST APIs, microservices, and SQL Server. Integrate generative AI and intelligent automation, support CI/CD pipelines, troubleshoot production issues, optimize performance, participate in code reviews, and contribute to technical documentation and architecture. Collaborate with product, architecture, business analysis, and DevOps teams to deliver secure, high-quality cloud-native software.

Provides hands-on technical leadership for enterprise applications and AI-enabled solutions. Designs full-stack systems, REST APIs, cloud-native services, reusable AI lifecycle utilities, and scalable architectures. Leads projects through development, testing, deployment, and production support while promoting DevOps, automation, security, observability, and performance practices. Mentors engineers, removes technical roadblocks, collaborates cross-functionally, and evaluates emerging technologies.

Manage Azure infrastructure with Terraform, deploy and troubleshoot AKS workloads, build CI/CD automation, and improve platform reliability, security, observability, and performance. Support Azure Data Factory and Databricks deployments, debug production issues, create scalable architectures, maintain reusable Terraform modules, and integrate AI tools into engineering workflows.

Lead DevOps and platform engineering for AWS-based SaaS products. Define delivery and operational standards, modernize applications, build CI/CD platforms with GitHub Actions and Jenkins, and manage AWS, Kubernetes, Terraform, Docker, Helm, and GitOps environments. Improve observability, security, developer experience, and deployment reliability while mentoring engineers. Drive responsible adoption of AI-assisted engineering, support AI workloads on AWS, and establish governance for AI agents operating in cloud infrastructure.

Build and migrate high-throughput backend microservices supporting Wise’s identity, account, risk, and financial-crime platforms. Develop low-latency, highly available APIs; implement data schemas, contracts, lineage, and immutable data flows; maintain SLAs, SLOs, monitoring, and alerting; participate in incident response and post-mortems; and collaborate with global product, risk, FinCrime, and engineering teams.

Design, develop, test, deploy, and maintain responsive frontend applications. Translate product and design requirements into scalable interfaces, integrate APIs, contribute to system design and data modeling, and own features through deployment and operational support. Collaborate across engineering, product, and design teams while safely integrating AI/ML-enabled solutions. Improve accessibility, performance, reliability, and user experience across applications operating at scale.

Leads a cross-functional Java and React engineering team building secure, scalable, high-performance market technology. Owns technical vision, architecture, reliability, observability, incident response, security, and production readiness. Partners with Product and Delivery on roadmaps and releases, mentors engineers, and promotes responsible AI-assisted development. Remains hands-on designing and implementing Java services, tuning performance, and supporting microservices deployed on Kubernetes.

Leads end-to-end solution architecture and hands-on development across Java, Spring Boot, Python, APIs, distributed systems, data platforms, and AI/ML services. Defines high- and low-level designs, integration patterns, nonfunctional requirements, and production-readiness standards. Guides AI-assisted engineering practices, model productionization, MLOps, observability, security, resiliency, and responsible AI controls. Investigates performance and production issues while partnering with data science teams to deliver scalable, reliable services.

Build and maintain GitLab’s authentication services across the Rails monolith and GATE. Develop token issuance, validation, identity, passkey, passwordless, service-account, and workload identity capabilities using Go and Ruby. Migrate authentication paths, improve access management, address security vulnerabilities, optimize performance, and contribute to engineering standards, roadmap planning, code reviews, and open-source communication.