Top Software Engineer Jobs in India

Leads the design, development, deployment, and technical direction of scalable full-stack web applications using React, Java, Oracle, and related technologies. Owns the software lifecycle, translates business requirements into technical solutions, conducts code reviews, optimizes performance and security, and mentors developers. Collaborates with UX, QA, product, and engineering teams while architecting enterprise applications, REST APIs, microservices, database integrations, and messaging systems.

Develops and troubleshoots secure, scalable full-stack software for JPMorgan Chase Markets Technology. Responsibilities include writing high-quality React, TypeScript, Java, or Go code; analyzing data; contributing across the SDLC; using AI-assisted development tools responsibly; and supporting agile delivery, resiliency, automation, and security. Preferred experience includes Java 17+, microservices, AWS deployment, Terraform, and relational databases.

Designs, builds, and operates scalable AWS data engineering products using Databricks, Spark, Delta Lake, Python, PySpark, and SQL. Develops batch and streaming ETL/ELT pipelines, orchestration workflows, infrastructure as code, automated quality controls, and secure production operations. Leads adoption of AI-assisted engineering practices while maintaining human oversight, governance, privacy, security, and auditability. Supports lakehouse architecture, data products, observability, incident triage, and mentoring across modern data engineering initiatives.

Develop scalable full-stack web applications and APIs using C#, .NET, AWS, SQL Server, and PostgreSQL. Responsibilities include designing reliable products, writing unit tests, practicing continuous integration and test-driven development, resolving production issues, improving system instrumentation, collaborating with product managers, following Agile practices, and applying secure, scalable software architecture. The role is based in Mumbai with a hybrid schedule.

Develops secure, scalable software and data solutions using Databricks, Spark/PySpark, AWS, Python, and SQL. Designs applications, optimizes large-scale data processing, builds production ETL/ELT systems and data models, and supports AI/ML pipelines. Creates architecture artifacts, troubleshoots complex systems, validates AI-assisted development outputs, improves coding standards, and mentors engineers. Preferred experience includes Delta Lake, Unity Catalog, streaming, Airflow, MLflow, infrastructure as code, containers, Kubernetes, and monitoring tools.

Develops, designs, tests, troubleshoots, and maintains secure, scalable software applications using Java, Spring Boot, AWS, Kafka, and REST. Creates production code, architecture artifacts, visualizations, and reporting from large datasets. Applies agile, CI/CD, resiliency, security, and responsible AI-assisted development practices while improving system architecture and coding quality.

Develops and maintains secure Salesforce solutions using Apex, Lightning Web Components, and Salesforce APIs. Writes clean code, automated tests, and CI/CD pipelines; performs debugging, defect management, integration and end-to-end test automation. Collaborates in Agile/Scrum teams with product managers, designers, and engineers, supports production applications, documents systems, and improves software quality and deployment processes.

Develop and scale full-stack features for an AI-first corporate expense platform. Responsibilities include building Java/Spring Boot backend services, responsive frontend portals, APIs, microservices, data services, policy workflows, administrative controls, accounting integrations, and monitoring. The role owns features end-to-end, collaborates across engineering and product teams, contributes to technical strategy, mentors engineers, and promotes testing, reliability, and documentation best practices.

Develop secure, source-grounded AI applications using retrieval-augmented generation, multimodal document intelligence, explainability, citations, evaluation frameworks, and human feedback workflows. Build Azure-native multi-tenant applications with PostgreSQL, enterprise RBAC, hybrid retrieval, and auditability. Collaborate in Agile teams, engage customers, mentor engineers, and support continuous improvement of prompts, models, retrieval systems, and evaluation processes.

Leads a 6–8-person engineering team building database observability products, including telemetry agents, ingestion pipelines, recommendation engines, and AI-driven diagnostics. Owns technical direction, architecture, roadmap delivery, reliability, DevOps, hiring, mentoring, and performance management. Partners with Product and Design while guiding distributed systems, streaming, database, and AI engineering initiatives.

Develop and maintain secure, scalable full-stack applications for JPMorganChase. Responsibilities include software design, Java and React development, troubleshooting, testing, architecture documentation, data analysis, and operational stability. The role also requires using approved AI-assisted development tools responsibly, applying agile and SDLC practices, and supporting cloud-based systems with AWS, Kafka, databases, and Terraform.

Develops and maintains secure, scalable full-stack applications using Java, Spring Boot, React, AWS, Kafka, and Terraform. Designs software architecture, troubleshoots complex technical issues, creates production code, and ensures application resiliency and security. Uses authorized AI-assisted development tools responsibly for coding, testing, refactoring, and documentation. Analyzes data and system patterns to improve code quality, architecture, and team effectiveness within an agile software development lifecycle.

Develop and support Python and React applications that enable data visualization, dataset sharing, automated code generation, and natural-language application development. Build APIs and web applications using AWS, databases, caching, and search technologies. Collaborate with researchers, analysts, portfolio managers, data scientists, and operations users while applying secure coding, testing, CI/CD, agile practices, and responsible AI-assisted development.

Build and maintain platform-level microservices, internal tools, and foundational services using Golang, ReactJS, Docker, Kubernetes, and PostgreSQL. Design scalable distributed architectures, CI/CD pipelines, and secure cloud-ready systems. Support developer experience through libraries, patterns, and documentation while improving observability, reliability, and performance. Collaborate with engineering, DevOps, and product teams on architecture, code reviews, and technical design.

Develop and support cloud-based healthcare platforms and web applications that use AI/ML and rules engines to automate prior authorization. Contribute to technical roadmaps, design, feature development, testing, releases, production support, and database-to-frontend engineering. Collaborate with product, design, and engineering teams while using Java or Python, React, JavaScript, cloud services, relational and NoSQL databases, version control, unit testing, and CI/CD.

Leads architecture, integration, deployment, and operation of multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, incident response, SLOs, and 24x7 production support. Partners with customers and engineering teams to troubleshoot and improve highly available services. AI/LLM platform, Jenkins/Groovy, and backend development experience are advantageous.

Develops, tests, troubleshoots, and maintains secure, scalable full-stack software for hedge fund applications. The role involves writing high-quality code, analyzing data, supporting system design, participating across the software development lifecycle, and applying agile, CI/CD, resiliency, security, and AI-assisted development practices. Preferred technologies include Java, Spring Boot, ReactJS or Angular, Python, cloud platforms, and relational databases such as SQL Server and Oracle.

Designs, develops, tests, and troubleshoots scalable Java and AWS systems within an agile team. Creates secure production code, develops architecture and design artifacts, maintains operational stability, and uses AI-assisted development tools responsibly. Analyzes data to improve coding practices and system architecture, contributes to software engineering communities, and supports continuous improvement across applications and systems.

Lead the design, development, automation, and reporting of integration and system tests across firmware, BMC, Linux device drivers, and hardware. Own test strategy, infrastructure, feature validation, debugging, bug triage, root-cause analysis, CI/CD automation, code reviews, and quality improvements. Collaborate with hardware, software, and QA teams, mentor junior engineers, drive corrective actions, and provide technical leadership for complex system software testing.

Lead and deliver complex blockchain platform initiatives: design, develop, test, implement and monitor applications and system components; ensure operational efficiency, risk compliance, mentor engineers, collaborate with stakeholders, and partner with production support and platform teams.

Develops digital wallet solutions and creates automated testing frameworks, scripts, and test cases for front-end and backend applications. Responsibilities include requirements analysis, test planning, functional and regression testing, test data preparation, defect tracking, traceability maintenance, root-cause analysis, and issue escalation. Provides technical guidance on automation and non-functional testing while collaborating with project teams and support groups.

Develops and supports secure, scalable Java applications using Spring Boot, microservices, APIs, Kafka, Elasticsearch, Kubernetes, and testing frameworks. Designs software architecture, troubleshoots complex technical issues, reviews code, and maintains production systems. Uses authorized AI coding tools and builds AI agents and LLM-enabled workflows with responsible data handling, verification, and security practices. Collaborates within agile SDLC processes emphasizing resiliency, automation, CI/CD, and secure software delivery.

Build, design, test, deploy, maintain, and improve cloud software using distributed systems and cloud technologies. Manage project priorities, deadlines, and deliverables while collaborating on complex engineering initiatives. The role requires strong software engineering fundamentals, programming ability, problem-solving skills, and familiarity with cloud platforms, containers, Kubernetes, and microservice architectures.

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Designs, develops, tests, and deploys scalable full-stack web applications using ReactJS, NodeJS/Express, PostgreSQL, and AWS. Builds REST APIs, manages Docker-based cloud deployments and CI/CD pipelines, optimizes performance, implements security standards, troubleshoots incidents, conducts code reviews, and collaborates with global stakeholders. Uses AI coding assistants to improve development efficiency and quality.