Top Software Engineer Jobs in India

Develop, design, and install software solutions for Data Governance & Regulations. Follow SDLC, perform systems analysis, investigate and resolve issues, document designs, and collaborate with cross-functional teams. Maintain confidentiality, demonstrate Mastercard core competencies, and quickly adopt new technologies and tools.

The Senior ABAP Developer will design and implement features for SAP integration, enhance development processes, and collaborate with cloud teams. Emphasis is on maintainable code and ownership from design to implementation.

Develop, enhance, and maintain custom software components using modern frameworks and agile practices. Create and maintain automated test scripts with Playwright, troubleshoot complex software issues, integrate testing into CI/CD pipelines, and ensure application quality and performance. Collaborate with cross-functional teams, document development processes, contribute to technical solutions, and provide guidance to junior team members while working toward subject matter expertise.

The Lead Software Engineer will drive customer experience through full stack development, leveraging microservices and cloud technology while mentoring teams and ensuring quality benchmarks are met.

Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.

Designs and maintains automated GPU performance verification infrastructure spanning workload generation, testing, simulation, emulation, silicon validation, data pipelines, dashboards, and metrics analysis. Partners with GPU architects and hardware teams to improve verification workflows, performance observability, and build iteration speed. The role primarily uses C++ and Python, with opportunities to develop full-stack applications and scalable infrastructure.

Design, build, and operate full-stack products spanning responsive frontends, Java and Python backend services, REST APIs, data pipelines, and distributed systems. Deploy and troubleshoot production services on Kubernetes, develop Kafka streaming pipelines and ClickHouse-backed storage, and integrate AI features, LLMs, and agentic workflows. Collaborate with product, design, and engineering teams while owning observability, testing, performance, code quality, and production reliability.

Owns architectural direction across React front end, Python services, APIs, and Databricks/Snowflake data layers. Establishes engineering standards, leads technical design, mentors engineers, resolves escalated technical issues, and partners with leadership on roadmap and resourcing. Guides full-stack tradeoffs and platform expansion across multiple regions while operating in a regulated, compliance-sensitive data environment.

Lead the design, development, and operation of secure public cloud platform services. Guide cloud platform engineers, establish scalable and reusable engineering patterns, automate processes, manage security controls, monitor application quality, reduce technical debt, and collaborate with partner teams. Provide technical coaching and agile leadership while building maintainable, interoperable software and infrastructure.

Leads end-to-end software deliveries on AS400 systems, producing technical designs from high-level requirements and developing or modifying batch and online modules. Collaborates with analysts, subject matter experts, QA, and support teams through design reviews, testing, UAT, release, and production support. Performs defect analysis, ensures quality and timely delivery, and works independently while supporting RxClaim adjudication systems using DB2/400, SYNON, and SQL. Requires availability for evening shifts.

Develops and supports secure distributed software applications using Microsoft .NET technologies. Responsibilities include system analysis, solution design, estimation, programming, database development, API and microservices work, project delivery, application support, risk communication, and technical issue resolution. The role collaborates with technical and project managers, contributes to Agile delivery, and mentors less experienced developers while promoting continuous improvement and professional growth.

Design, test, automate and troubleshoot cloud-native product components within agile cross-functional teams. Ensure test coverage, participate in artifact reviews, document progress for stakeholders, and support continuous improvement and knowledge sharing.

Develop and maintain Python backend services for global trade structuring and risk tools. Lead full-lifecycle software development, participate in requirements gathering, propose technical solutions, and support production systems. Promote AI-assisted engineering practices with secure validation standards, automated testing, and governance. Collaborate with global teams, troubleshoot distributed applications, work with event-based architectures, and help expand platform adoption across development teams.

Build, maintain, test, and deploy scalable C#/.NET Core applications and RESTful APIs. Troubleshoot, optimize, and improve platform modules, collaborate with cross-functional teams, and support roll-outs and integrations.

Develop and maintain Python-based FastAPI services and REST APIs within secure, scalable, event-driven Azure microservices architectures. Design technical solutions, troubleshoot production issues, perform root-cause analysis, support CI/CD and automation, and improve reliability, performance, security, and SaaS cost efficiency. Participate in agile ceremonies, code reviews, incident management, mentoring, and technical roadmap development while collaborating with engineering, product, operations, and project teams.

Provides Tier 1 Salesforce platform support by managing tickets, troubleshooting user issues, monitoring errors, performing data loads and maintenance, and escalating complex problems. Assists with Salesforce configuration, permissions, QA smoke and regression testing, defect tracking, requirements refinement, and process documentation. Collaborates with business and technical teams to maintain data integrity, resolve production issues, and improve operational workflows.

Lead development of cloud-native, microservices-based back-end systems and production-grade data pipelines (batch and streaming). Design scalable Big Data solutions, ensure data quality and observability, partner with product teams, support production lifecycle and incidents, and apply SDLC and AI-assisted engineering tools to improve automation and delivery.

Administer and automate developer tooling and CI/CD systems (GitHub Actions, Runners, JFrog Artifactory/Xray). Configure code quality and testing tools (GitHub Code Quality/Codacy, Sauce Labs, BlazeMeter), develop custom integrations and automation scripts, analyze license usage and metrics, collaborate with teams, and meet MTTS targets.

Leads software engineering within an agile Payments Technology team, building secure, scalable, high-throughput Java applications. Provides technical guidance, develops and reviews production code, drives AI-assisted engineering practices, improves SDLC automation, and influences product design and technical operations. Requires expertise in Java, Spring Boot, Kafka, cloud-native applications, distributed systems, performance tuning, and responsible AI use. Preferred experience includes Kafka Streams, microservices, Kubernetes, Apigee, behavior-driven design, agentic workflows, and production agentic AI.

Design, code, and enhance custom software components using modern frameworks and agile practices. Serve as an SME, lead team decisions, mentor juniors, design and optimize data pipelines on Databricks, troubleshoot and tune performance, and coordinate cross-functional teams to deliver scalable data analytics solutions.

Leads software design, development, troubleshooting, code review, architecture evaluation, automation, and operational stability initiatives. Guides adoption of AI-assisted engineering practices, establishes secure validation standards, evaluates technology solutions, drives communities of practice, and mentors teams on responsible AI use. Requires advanced Java and enterprise application expertise, architectural knowledge, and ownership of business outcomes.

Build and ship software rapidly within an advanced technology team. Responsibilities include working across TypeScript/Node.js, Go, and Python; modifying unfamiliar codebases; writing reliable CI tests; publishing and versioning CLIs, SDKs, or packages; and debugging integrations involving third-party APIs, external services, and CI runners.

Designs and maintains automated test frameworks and suites for functional, regression, integration, smoke, canary, API, and performance testing. The role validates distributed financial systems, simulates market events, investigates failures, performs root-cause analysis, and promotes QA best practices across the software development lifecycle. It collaborates with engineering, product, and analyst teams to improve automation scalability, coverage, reliability, and compliance in regulated FinTech environments.

Leads complex, large-scale software engineering initiatives and develops secure Java full-stack applications. Designs, codes, tests, debugs, documents, and reviews technology solutions; establishes engineering, Agile, DevOps, and cloud-native standards; and contributes to modernization through APIs and microservices. Provides architectural guidance, makes technical decisions, conducts code reviews, mentors junior developers, and coordinates developers and QA engineers to deliver production-ready software. Collaborates with technical leaders and stakeholders while supporting banking-domain technology objectives.

Lead software engineering initiatives and large-scale technical planning. Design, develop, test, debug, document, upgrade, and deploy complex Java full-stack applications using Spring, microservices, cloud platforms, and modern UI frameworks. Resolve technical challenges, review solutions, lead projects, support compliance requirements, and guide less experienced engineers. Collaborate with peers and managers while addressing performance, scalability, integration, and client needs.