Top Software Engineer Jobs in India

Develop, customize, test, debug, optimize, and support SAP ABAP solutions across SAP ECC and S/4HANA. Build RICEFW objects, integrations, Fiori and OData applications, and HANA SQL solutions. Collaborate with functional consultants and stakeholders, participate in code reviews, document technical designs, resolve production issues, and contribute to agile continuous improvement initiatives.

Develops and supports the Temenos Transact core banking platform, including module enhancements, integrations, enquiries, versions, routines, and tables. Builds interfaces using IF, IRIS APIs, and TWS; supports functional testing, UAT, and production issue resolution. Collaborates with QA, integration, and operations teams while following agile delivery and documentation standards.

Designs and maintains UI, API, and integration test automation for an AI-driven legal operations platform. Develops Playwright and JavaScript frameworks, integrates testing with Allure and Jenkins CI/CD pipelines, analyzes failures, performs root cause analysis, establishes test data strategies and quality metrics, reviews automation code, and collaborates with engineering and product teams. The role also evaluates AI outputs, builds adversarial datasets, and supports agent and MCP testing.

Design, build, and maintain scalable, high-availability .NET applications and APIs in AWS. Lead architecture and full SDLC, mentor team members, improve code quality and performance, ensure security/compliance, and collaborate with stakeholders to deliver production-grade payments solutions.

Build and maintain PayPal’s Android POS app for phones and Zettle Terminals. Develop checkout, receipts, inventory, refunds, invoices, authentication, and onboarding features using Kotlin, Java, Jetpack, coroutines, and Compose. Integrate REST and GraphQL services, Bluetooth peripherals, and terminal hardware. Improve stability and release quality, write unit and instrumentation tests, investigate production issues, participate in reviews and CI/CD, and collaborate with engineers across Bangalore and Sweden.

Develops, enhances, tests, troubleshoots, and sustains customer-facing software applications for connected industrial equipment. Integrates applications with PLCs, databases, cloud services, and third-party systems while collaborating with mechanical, controls, cloud, and product engineering teams. Responsibilities include feature ownership, debugging, releases, documentation, code reviews, customer support, and continuous improvement across the product lifecycle.

Build scalable backend applications, APIs, integrations, and intelligent agentic AI workflows. Develop LLM-powered applications that interact with external systems, orchestrate AI models, and automate business processes. Ensure reliability through testing, deployment, monitoring, troubleshooting, and safeguards. Collaborate with product and business teams to translate requirements into technical solutions while evaluating emerging technologies and contributing to platform architecture.

Develop scalable data pipelines and deep learning models for quantitative trading applications. Responsibilities include designing sequence and time-series models, evaluating and improving model performance, building agentic AI/ML workflows, and operating production MLOps pipelines. The role requires Python, PyTorch or TensorFlow, Git, CI/CD, Linux, SQL, Bash, and experience deploying large-scale machine learning models.

Develop, configure, test, deploy, and support NICE Actimize SAM solutions for AML transaction monitoring. Build detection scenarios, rules, data pipelines, integrations, and SQL-based processing workflows. Troubleshoot application, batch, data quality, and performance issues while supporting platform upgrades, automation, observability, and operational reliability. Collaborate with engineering, product, risk, compliance, and architecture teams in an Agile environment.

Design, develop, test, document, deploy, and operate secure, scalable web applications using Python, AWS, React, and related technologies. Build APIs, cloud solutions, CI/CD pipelines, and automated testing across development, QA, and production. Translate business needs into technical solutions, support application lifecycles, and contribute to innovation. Coach developers, collaborate with Airbus digital and aircraft systems organizations, and provide roadmap guidance while meeting delivery, quality, security, and compliance objectives.

Design, develop, test, deploy, and support scalable software applications for FactSet’s Buyside Services products. Build backend services, RESTful APIs, and modern web applications; optimize PostgreSQL databases and large-data workflows; implement caching and service-oriented architectures; troubleshoot production issues; and improve application reliability, performance, and maintainability. Collaborate with Product and Engineering teams, contribute to technical design, conduct code reviews, and mentor less-experienced engineers.

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Build and maintain Citi’s corporate tax technology applications across the full stack. Develop React interfaces, Java and Spring Boot services, Oracle SQL and PL/SQL database solutions, containerized deployments using Kubernetes and OpenShift, automation scripts, and automated tests. Participate in code reviews, defect resolution, release support, and agile ceremonies while supporting critical financial reporting functions.

Lead the architecture, development, deployment, and scalability of Citi’s corporate tax applications. Guide frontend and backend engineering using React, Java, and Spring Boot; oversee Oracle data modeling and performance; direct Kubernetes or OpenShift deployments; establish testing and automation standards; mentor developers and QA engineers; review code and production readiness; and manage architectural risks and modernization initiatives.

Owns end-to-end development of complex .NET and Angular features, including architecture, APIs, reusable utilities, testing, debugging, performance tuning, and deployment readiness. The role participates in Agile delivery, mentors junior engineers, contributes to CI/CD and environment stability, and responsibly uses AI tools for coding, design, testing, documentation, and analysis.

Develop and maintain browser-based software features using .NET technologies. Responsibilities include understanding system architecture, following development and testing processes, troubleshooting complex issues, participating in code reviews and Agile ceremonies, collaborating across teams, and contributing to documentation and knowledge sharing.

Build and operate AI-based anomaly detection, monitoring services, automation, and data-quality tooling for large-scale healthcare data. Develop statistical and machine-learning detection methods, evaluate precision and recall, create actionable alerts and dashboards, integrate quality checks into data pipelines, and collaborate with engineering, clinical, architecture, and product teams. Participate in design reviews, code reviews, performance tuning, deployment, operations, and on-call support.

Develop internal engineering tools, platforms, automation, dashboards, telemetry, and AI-powered workflows for Power BI Desktop and Service. Build secure, scalable cloud-native systems, modernize legacy architectures, improve release validation and observability, and integrate GenAI and machine learning into developer workflows. Collaborate globally with product, QA, release engineering, infrastructure, and partner teams to improve engineering productivity, quality, compliance, and delivery insights.

Build and maintain Python and Pytest automation frameworks validating endpoint security products across Windows, macOS, and Linux. Develop deployment, upgrade, CLI, and endpoint validation automation using Ansible and Terraform. Partner with Engineering and Product teams to identify quality risks, improve test coverage, investigate defects, perform root cause analysis, and increase release confidence. Use cloud, CI/CD, Docker, and AI-assisted engineering tools to improve development and testing productivity.

Develop and maintain database performance monitoring software across frontend and backend layers. Responsibilities include implementing features, translating requirements into code, testing, debugging, code review, improving reliability and performance, collaborating with product and engineering stakeholders, and using AI-assisted development tools and spec-driven practices.

Develop and maintain database performance monitoring software across frontend and backend layers. Responsibilities include implementing features, translating requirements into code, testing, debugging, code reviews, improving reliability and performance, collaborating with product and design teams, and contributing to specification-driven development. The role also involves using AI-assisted engineering tools responsibly and supporting features through release.

Develop and maintain database performance monitoring software across frontend and backend layers. Responsibilities include implementing features, translating requirements into code, testing, debugging, code reviews, performance improvements, observability, and collaborating with product and engineering partners. The role also involves using AI-assisted development tools and participating in specification-driven development.

Develop scalable, highly available cloud-native software for Cisco Intersight, a cloud-based system management platform. Design SaaS and cloud infrastructure using microservices, object-oriented programming, data structures, and algorithms. Build and debug software with Go, Java, C, or C++, and work extensively with Docker, Kubernetes, and AWS. Collaborate on system management, compute, network, and storage technologies while solving complex technical problems.

Develop and validate cloud-native infrastructure, software components, and integrations across on-premises and cloud environments. Build scalable solutions using distributed systems, microservices, and container orchestration technologies. Collaborate in self-organizing teams to solve complex AI infrastructure and hybrid cloud management challenges while maintaining strong product quality, design, and customer focus.

Develop and validate scalable infrastructure, software components, and integrations for Cisco Intersight across on-premises and cloud environments. Design distributed, cloud-native microservices and contribute to AI infrastructure solutions. Collaborate in self-organizing teams while applying software design, algorithms, Linux, networking, containerization, orchestration, and virtualization expertise to deliver high-quality products.