Top Software Engineer Jobs in India

Lead software engineering for JPMorgan Chase’s Accelerator business by designing scalable, secure, reliable cloud-native products. Responsibilities include domain modeling, software architecture, resilient deployments, performance optimization, incident resolution, technology modernization, and zero-downtime releases. The role also drives responsible adoption of AI-assisted engineering tools, automated testing, secure coding, code review, and knowledge sharing across collaborative teams.

Leads software engineering for secure, scalable banking technology products. Responsibilities include providing technical direction, developing and reviewing Java code, designing cloud-native platforms and microservices, driving AI-assisted engineering adoption, improving SDLC automation, and supporting live migrations and production operations. The role requires expertise in AWS, Spring, databases, Kafka, APIs, observability, SRE, CI/CD, automated testing, and responsible AI practices, along with mentoring engineers and influencing broader technical teams.

Lead the architecture and hands-on development of scalable GenAI and agentic AI platforms for enterprise Finance workflows. Build AWS cloud-native services using Python, retrieval-augmented generation, agents, guardrails, APIs, and tool orchestration. Establish evaluation, observability, reliability, security, and cost standards; optimize performance and context efficiency; mentor engineers; and influence architecture across teams in a regulated environment.

Leads cybersecurity data-source onboarding and integration for Zscaler’s security platform. Builds and automates Python/API-based data transformations, maps and normalizes security data, manages pipeline lifecycle activities, troubleshoots data quality, and identifies security gaps. Partners with cybersecurity SMEs and cross-functional teams to create implementation plans, communicate technical findings, and provide product improvement feedback. The role requires expertise in security platforms, diverse security-tool integrations, data modeling, SQL, and Python.

Leads full-stack software engineering for secure, scalable financial technology products. Designs, develops, tests, reviews, and troubleshoots production code using Java, React, Next.js, JavaScript, TypeScript, AWS, and modern engineering practices. Drives responsible AI-assisted development, automation, resilience, operational stability, architectural evaluations, and technical collaboration across agile teams.

Design and run experiments evaluating emerging AI capabilities, build lightweight prototypes, document findings, and communicate risks and recommendations. Collaborate with product, platform, and internal engineering teams to validate AI use cases and transition successful capabilities into production. The role requires rapid iteration in ambiguous environments, strong software engineering judgment, and hands-on experience with LLMs, agentic systems, evaluation, RAG, fine-tuning, and orchestration.

Leads the design, development, integration, testing, and delivery of cardholder services applications. Provides hands-on technical leadership across Java and Spring Boot services, React or Angular applications, APIs, databases, event-driven integrations, and cloud platforms. Drives architecture decisions, technical evaluations, scalability, security, resiliency, CI/CD, production support, and engineering best practices while mentoring engineers and collaborating across Product, Engineering, Architecture, and QE teams.

Leads development of secure, cloud-native applications using React, TypeScript, Python, SQL, and Azure. Builds scalable APIs, enterprise applications, CI/CD pipelines, and containerized deployments while integrating LLMs, generative AI, agents, RAG, intelligent search, and workflow automation. Supports the full software lifecycle, production operations, code reviews, technical design, and cross-functional delivery. Applies DevOps, Infrastructure as Code, Agile practices, and AI-assisted development to improve engineering quality and velocity.

Develop and sustain full-stack cloud software, including AI and agentic capabilities. Design architectures, write high-quality code, test components, troubleshoot production issues, support CI/CD and DevOps workflows, document technical solutions, communicate risks, and mentor junior engineers. The role requires hands-on experience with Java, Node.js, TypeScript, Angular, and SQL, plus the ability to integrate LLMs and agentic workflows into production systems.

Develops, deploys, monitors, and maintains scalable software throughout the SDLC. Leads architectural and technical decisions, builds backend services, improves system quality and performance, and contributes to testing and documentation. Mentors engineers, supports Agile planning, resolves customer and systemic issues, and owns highly available processes. Requires expertise in Java or Python, cloud platforms, messaging systems, production monitoring, machine learning, distributed systems, and databases.

Designs portions of engineering solutions for software, products, systems, and integrated solutions. Executes test plans, validates engineering specifications, and collaborates with internal and external development partners. Works cross-functionally to deliver reliable, cost-effective, high-quality solutions for low- to moderately complex products. Requires an engineering or computer science degree, 0–2 years of experience, familiarity with engineering design tools, and foundational hardware and electrical knowledge.

Designs and implements complex software changes across platform components, defines architecture patterns, evaluates technologies, and supports software products. The role applies AI-first development practices and builds AI-powered and agentic capabilities using LLM APIs, tool use, memory, and MCP integrations. It also involves cross-team consultation, risk reporting, technical leadership, mentoring, and knowledge transfer.

Leads enterprise-scale software engineering initiatives for observability across on-premises and cloud platforms. Designs, codes, tests, debugs, documents, and reviews complex full-stack solutions while establishing engineering standards and mentoring peers. Develops telemetry, monitoring, AI-powered anomaly detection, root-cause analysis, and remediation capabilities. Collaborates with technical leaders and stakeholders, provides strategic guidance, and drives adoption of cloud, microservices, Kubernetes, and modern AI/ML technologies.

Design and scale high-performance backend services and distributed systems using Rust and asynchronous programming. Build low-latency data-forwarding planes, gRPC services, and resilient infrastructure. Optimize performance across kernel and user space, contribute to architecture and code reviews, document systems, and mentor engineers.

Build and ship production-ready enterprise software using AI-assisted development tools. Develop integrated front-end and back-end components, incorporate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while maintaining software quality, scalability, compliance, and delivery speed. The role requires at least five years of Java full-stack development experience and 15 years of full-time education.

Build and ship production-ready full-stack enterprise applications using AI copilots, LLM tools, and AgentAI workflows. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply engineering best practices for scalable, compliant software. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, databases, and CI/CD pipelines to accelerate delivery without compromising quality.

Build production-ready full-stack enterprise applications using AI-assisted development tools, including copilots and LLM-based coding assistants. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and apply software engineering, SDLC, quality, compliance, and cloud-native practices. Collaborate with architects and AI specialists to improve delivery speed and software development processes.

Build and ship production-ready full-stack enterprise applications using AI-native development practices. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, testing, debugging, and documentation. Ensure scalable, compliant, high-quality delivery while collaborating with architects and AI specialists. The role requires at least five years of Java full-stack development experience and 15 years of full-time education.

Build and ship production-ready full-stack enterprise software using AI-native development practices. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, testing, debugging, and documentation. Apply software engineering best practices to deliver scalable, compliant solutions while collaborating with architects and AI specialists. Java full-stack development experience and 15 years of full-time education are required.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and use copilots for coding, testing, debugging, and documentation. Apply software engineering, SDLC, quality, compliance, cloud-native, and CI/CD best practices while collaborating with architects and AI specialists.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering best practices for quality, scalability, compliance, and rapid delivery. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, databases, and CI/CD pipelines.

Build and ship production-ready full-stack enterprise applications using AI-native development practices. Develop Java-based backend and frontend components, integrate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while maintaining software quality, scalability, compliance, and delivery speed.

Build and ship production-ready full-stack enterprise software using AI-assisted development tools. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and apply software engineering best practices for quality, scalability, compliance, testing, and continuous improvement. Collaborate with architects and AI specialists while leveraging Java and other full-stack technologies, cloud-native development, and CI/CD pipelines.

Build and ship production-ready full-stack enterprise applications using AI-native engineering practices. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI copilots and LLM tools for coding, testing, debugging, and documentation. Ensure scalable, compliant, high-quality delivery while collaborating with architects and AI specialists. The role requires at least five years of Java full-stack development experience and 15 years of full-time education.

Build and ship production-ready full-stack enterprise software using AI-assisted development tools. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and apply engineering best practices for scalable, compliant solutions. Collaborate with architects and AI specialists while using copilots and LLM-based tools for coding, testing, debugging, documentation, and integration. The role requires Java full-stack development experience and practical knowledge of AI concepts.