Top Software Engineer Jobs in India

Develop and maintain clean, testable software using Python or Java. Apply data structures and algorithms to improve performance and scalability, collaborate with Product, QA, and DevOps teams, participate in code reviews, and troubleshoot existing codebases and microservices. The role requires familiarity with SQL or NoSQL databases, Git, software development lifecycle processes, and computer science fundamentals.

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.

Develops and integrates complex Java and full-stack software components for aviation systems. Provides technical leadership, estimates and delivers sprint work, supports backlog refinement, manages risks and change requests, and ensures quality through testable design, unit and integration testing, debugging, and automation. The role also involves prototyping, evaluating technical feasibility, supporting cloud and asynchronous workflows, and collaborating with product owners and engineering teams under minimal direction.

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.

Build and maintain scalable ETL and data pipelines using Python, PySpark, AWS Glue, and S3. Ensure data quality, reliability, monitoring, and performance through validation and optimization. Collaborate with technical teams to deliver documented datasets and interfaces, deploy and monitor ML systems, and implement reproducible training pipelines, low-latency inference services, infrastructure as code, secure networking, and least-privilege access. Use AI-assisted development tools responsibly while applying software engineering, testing, automation, and security standards.

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.

Develops secure, scalable Java backend software within an agile team. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, operational stability, and improving application quality. The role uses Spring Boot, Kafka, microservices, CI/CD, and enterprise-authorized AI coding tools while validating generated outputs for security, performance, and correctness. The engineer also contributes to engineering communities and guides responsible AI use.

Develops cloud-native software and infrastructure-as-code solutions using Terraform, AWS, and Golang. Builds reusable Terraform modules, APIs, microservices, event-driven systems, and asynchronous workflows. Troubleshoots infrastructure deployments, supports CI/CD automation, and ensures scalability, security, resiliency, and compliance. Collaborates with application teams and uses AI-assisted development tools responsibly to improve engineering productivity and code quality.

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.

Develop and support secure, scalable full-stack applications using Java, React, Spring Boot, AWS, APIs, Kafka, and MQ. Gather requirements, design, code, test, implement, and maintain business-critical systems while collaborating with global technology teams. Use enterprise-approved AI development tools responsibly, validate generated outputs, and build production-grade agentic AI applications involving prompt engineering, tool calling, orchestration, evaluation, and monitoring.

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.

Develops, tests, troubleshoots, and maintains secure, scalable software within an agile corporate technology team. Builds solutions using Java or Python, relational databases, caching technologies, and SDLC tools. Analyzes data, considers upstream and downstream system impacts, and uses enterprise-authorized AI-assisted development tools responsibly. Preferred experience includes cloud platforms, business intelligence tools, Kafka, Databricks, Scala, and Apache Spark.

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.