Top Software Engineer Jobs in India

Build and maintain cloud software features using Java and related technologies. Collaborate with developers, product managers, and quality engineers in an Agile Scrum environment. Responsibilities include feature design, coding, debugging, testing throughout the CI lifecycle, and taking ownership of customer-focused functionality while maintaining product quality and scalability.

Develop and support secure, scalable Android applications using Kotlin, Java, Android SDK, and Jetpack. Design mobile features, integrate APIs, create architecture artifacts, build automated unit, integration, and UI tests, and support CI/CD pipelines. Collaborate with product, design, and backend teams while applying secure coding, resiliency, accessibility, and responsible AI-assisted development practices. Analyze application data to identify issues and improve code quality, system architecture, and operational stability.

Designs, develops, tests, and supports secure, scalable software, APIs, batch systems, data pipelines, and AWS cloud solutions. Builds Spring Boot backend services, applies data governance and cloud security practices, creates architecture artifacts, monitors production systems, and troubleshoots incidents. Uses AI-assisted development tools responsibly, validates generated outputs, and contributes to agile SDLC practices, automation, observability, and continuous improvement.

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 Java and AWS applications supporting KYC, AML, sanctions, PEP, and adverse media screening. Designs, tests, deploys, monitors, and troubleshoots cloud-based systems; automates infrastructure and deployments; integrates APIs and databases; implements security and compliance controls; creates architecture documentation; supports audits; and uses AI-assisted development tools responsibly.

Develops secure, scalable Java full-stack applications for payments technology. Responsibilities include system design, production coding, testing, troubleshooting, architecture documentation, data analysis, operational stability, and participation in engineering communities. The role uses Java EE, Spring Boot, messaging systems, databases, containers, testing frameworks, cloud technologies, React, and AI-assisted development tools while following secure and responsible AI practices.

Develop and support secure, scalable Java and AWS applications for client screening, including KYC, AML, sanctions, PEP, and adverse media checks. Design cloud architectures, write production code, integrate APIs, manage databases and infrastructure, and optimize reliability. Collaborate with compliance and operations teams, support audits, document solutions, and apply secure AI-assisted development practices. Requires agile SDLC experience, strong AWS and containerization knowledge, regulatory awareness, and 3+ years of software engineering experience.

Senior individual contributor to architect, build, and deploy production-grade agentic/generative AI systems on cloud platforms. Lead architecture, set engineering standards and governance, unblock Staff Engineers, implement multi-agent orchestration, RAG pipelines, model fine-tuning, and ensure compliance and observability in a regulated FinTech environment.

Develops, tests, troubleshoots, and maintains secure, scalable software solutions for an API Marketplace. Designs complex applications, produces architecture artifacts, supports operational stability, and analyzes data to improve coding practices and system architecture. Uses AWS, modern programming languages, agile methodologies, CI/CD, and enterprise-authorized AI-assisted development tools while validating outputs for correctness, performance, security, and resiliency.

Designs, develops, troubleshoots, and supports secure, scalable Java backend services. Responsibilities include architecture, REST/gRPC APIs, messaging, databases, CI/CD, infrastructure as code, cloud and container platforms, observability, secure SDLC, vulnerability remediation, incident response, and reliability improvements. The role also uses and evaluates enterprise AI-assisted development tools, guides responsible AI usage, and may support ATM, payment, cryptographic, or embedded device integrations.

Designs, develops, enhances, and supports SAP S/4HANA applications using ABAP, Fiori, RAP, HANA, and OData. Builds APIs, integrations, automation, testing utilities, and CI/CD capabilities while collaborating with business and technology teams in an agile environment. Applies authorized AI-assisted development tools responsibly to improve productivity, code quality, testing, and documentation.

Develop and troubleshoot secure, scalable software for JPMorganChase’s Payments and Liquidity business. Responsibilities include Java development, low-latency and high-traffic system design, distributed databases, messaging systems, microservices, SDLC delivery, technical troubleshooting, and Agile development. The role also involves using enterprise-authorized AI coding tools responsibly and deploying applications with AWS and Terraform.

Build and maintain high-performance distributed systems for authentication and payment tokenization. Own features end to end, from design through production, while improving platform scalability, resilience, reliability, and security. Collaborate across teams and time zones, review code, write testable software, and contribute to financial infrastructure processing millions of transactions globally.

Build and maintain audit logging and telemetry pipelines in Go, integrate with SIEM platforms, ensure audit records are accurate and accessible, and improve logging coverage and event quality. Collaborate with IAM, threat detection, and platform teams while developing expertise in distributed systems, streaming, security telemetry, and compliance.

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

Design, develop, and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, follow security and architectural standards, and participate in testing, code reviews, deployments, incident response, and root-cause analysis. Improve CI/CD pipelines, automation, documentation, and engineering workflows while adopting AI-assisted development tools. Contribute to Agile planning, technical research, project estimation, and continuous learning.

Design, build, and scale infrastructure software, APIs, developer platforms, and self-service tools. Automate provisioning, configuration, deployment, and runtime operations while reducing engineering toil. Apply software engineering best practices, develop observability and self-healing systems, maintain reliability, and collaborate with Security, Systems, and Product Engineering teams. The role focuses on backend systems, infrastructure automation, CI/CD, testing, and scalable developer tooling.

Designs, develops, deploys, tests, documents, and supports software applications and systems for Cargill Food R&D. Collaborates with product managers, designers, engineers, and cross-functional teams to deliver business solutions. Automates deployment processes, performs debugging, maintains application quality, improves development standards, and provides technical support for deployed applications.

Designs, develops, tests, deploys, monitors, and maintains backend software, APIs, services, and application components. The engineer writes secure, reusable code; contributes to CI/CD, automated testing, observability, incident response, and production readiness; troubleshoots defects and performance issues; and collaborates in an Agile environment with product, architecture, quality, and engineering partners.

Develop and test full-stack applications using C#, SQL, .NET Core, and Angular. Collaborate in an Agile scrum team, refine requirements, conduct code reviews, solve backend, frontend, database, and infrastructure problems, and design reusable components and frameworks. Support automation, CI/CD, DevOps, application architecture, planning, and AI-enabled productivity improvements.

Build and productionize agentic AI and LLM-powered applications, including RAG systems, conversational interfaces, intelligent search, and advisory assistants. Design secure distributed services with tool orchestration, authentication, observability, evaluation, and responsible AI controls. Apply Python, APIs, cloud platforms, data engineering, and CI/CD practices. Collaborate with stakeholders, mentor engineers, and develop reusable AI engineering standards and components.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Develop and maintain responsive frontend and backend web applications. Build UIs with modern web technologies (React/Angular), design server-side services/APIs, work with SQL/NoSQL databases, apply CI/CD and version control, debug and optimize performance, participate in code reviews and testing, and collaborate with product and design teams.

Develops and supports secure, scalable Salesforce solutions for Asset and Wealth Management. Responsibilities include designing and coding Apex, LWC, Aura Components, integrations, triggers, asynchronous processes, and platform events; administering Salesforce configuration; implementing Sales and Service Cloud capabilities including Agentforce; producing architecture artifacts; analyzing data; and improving system quality, resiliency, security, and automation through Agile and CI/CD practices.

Develops and supports enterprise observability platforms covering monitoring, logging, tracing, alerting, metrics, and dashboards. Automates onboarding and provisioning through scripting, Infrastructure as Code, CI/CD, and cloud technologies. Partners with application, infrastructure, SRE, and cloud teams to establish standards, analyze performance, troubleshoot incidents, conduct root-cause analysis, and improve platform reliability, governance, and developer adoption.