Top Software Engineer Jobs in India

Leads software engineering within an agile team, designing, developing, testing, debugging, and operating secure, scalable production applications. Provides technical guidance, reviews code, influences product and technical decisions, and serves as a subject-matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, secure coding, testing, and SDLC frameworks. Requires advanced Java and Python expertise, cloud-native experience, independent problem-solving, and the ability to coach engineering teams on responsible AI usage.

Leads Java microservices engineering and coordinates tactical and strategic testing roadmaps across cross-product teams and partners. Drives defect closure, stakeholder communication, progress reporting, coordinated sign-off, and process improvement. Collaborates with technology peers and product owners to translate requirements into technical designs and deliver software using Spring Boot, REST, cloud-native, DevOps, Agile, and container technologies.

Leads an agile software engineering team building LLM-driven agent services and AI-assisted development capabilities on AWS. Designs multi-agent orchestration, communication layers, RAG solutions, SDKs, data pipelines, integrations, and cloud-native deployments. Drives responsible AI governance, secure engineering practices, automation, observability, and measurable validation standards. Provides technical leadership, mentorship, and independent problem-solving across product design, application functionality, and technical operations.

Leads backend software engineering within an agile financial-services technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code using Java and Python. Drives adoption of approved AI-assisted development practices, establishes validation standards, automates recurring remediation, improves application resiliency, and evaluates vendor and architectural solutions. Requires strong SDLC, cloud-native, security, CI/CD, platform engineering, and financial-services technology expertise.

Leads the architecture, development, and maintenance of scalable cloud-based data pipelines and infrastructure. Designs data models, drives data quality and governance, and partners with cross-functional teams to deliver strategic engineering solutions. Oversees technical requirements, architecture reviews, process improvements, and reusable design patterns. Promotes secure AI-assisted development, automated testing, CI/CD, streaming platforms, and operational excellence while mentoring teams and supporting innovation.

Leads agile software engineering efforts within JPMorganChase’s CTO organization. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java and Python applications; improves operational stability through automation and remediation. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, coaches engineers on secure usage, applies SDLC and cloud-native practices, and evaluates vendor and startup technologies for architectural fit.

Designs, builds, and hardens identity and access systems for Rubrik’s on-premise data protection platform. Responsibilities include OIDC/OAuth and SAML integrations, token and assertion lifecycle management, cryptography and PKI, reverse-proxy components, customer issue resolution, cross-platform packaging, Windows application maintenance, end-to-end testing, documentation, and stakeholder communication.

Build and manage Adobe Journey Optimizer, Adobe Campaign Classic, and Adobe Experience Platform solutions for personalized omnichannel customer journeys. Responsibilities include campaign workflows, JavaScript and SQL development, data ingestion and transformation, XDM schemas, identity stitching, audience activation, APIs, microservices, integrations, analytics tracking, testing, troubleshooting, documentation, and privacy compliance.

Design, develop, and maintain scalable test automation frameworks, internal tools, and utilities across web, native mobile, and API platforms. Apply AI/ML to improve test coverage, failure detection, and developer productivity. Perform root cause analysis, implement reliability fixes, optimize CI/CD workflows, and operate observability tooling such as Datadog and Splunk. Collaborate across teams, document technical initiatives, and drive improvements in quality, stability, and release efficiency.

Designs and implements scalable, maintainable software solutions for Expedia Group’s Ordering Services domain. Responsibilities include improving processes and technology, supporting production systems, investigating and resolving issues, documenting knowledge, participating in technology reviews, developing user stories, and collaborating with developers and product managers. The role focuses on reliable order lifecycle services, APIs, troubleshooting, peer reviews, and delivering effective solutions.

Maintain, integrate, configure, test, deploy, and support procurement-related applications. Work with Agile teams, manage incidents and vendor relationships, enable AI-driven improvements, and perform middleware integrations and application configuration to meet business needs.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, performance tuning, testing, code reviews, and cross-team collaboration. Mentor teammates and support operational excellence for analytics-driven experimentation platform.

Own architecture and technical design for Workplace Service Delivery capabilities across employee self-service, request fulfillment, and CRM/field-service integrations. Translate complex requirements into precise specifications, orchestrate AI coding agents, and build verification harnesses with automated testing, evaluation suites, CI/CD gates, and security controls. Monitor production AI reliability, prevent prompt injection and data leakage, mentor senior engineers, and collaborate with product, UX, and platform teams. The role requires scalable enterprise software experience and strong AI-native engineering expertise.

Architect and develop security platform services supporting secrets and key management, identity and access management, onchain security, policy and risk management, and vulnerability management. Define technical roadmaps, build scalable cloud systems using Go or Java, manage project deliverables, mentor engineers, review designs, and maintain backend systems. The role requires solving complex technical problems, ensuring security and operational integrity, and collaborating with engineering, product, design, and leadership teams.

Design, develop, and deliver cloud-native, microservices-based applications; write secure production code; lead AI-assisted engineering practices; improve operational stability; mentor teams; ensure scalable, resilient, zero-downtime solutions within agile teams.

Build and operate full-stack products spanning ReactJS or Angular frontends, Java and Python backend services, REST APIs, data pipelines, and distributed systems. Deploy and troubleshoot Kubernetes-based services, including Kafka streaming and ClickHouse data stores. Integrate LLMs, AI agents, retrieval, and agentic workflows into products. Own quality through testing, observability, instrumentation, performance optimization, code reviews, and production operations while partnering with product, design, and engineering teams.

Leads development of production-grade native iOS applications within an agile payment technology team. Provides technical guidance, manages technologists and stakeholders, anticipates dependencies, and ensures compliance with business requirements. Applies Swift, SwiftUI, architecture patterns, testing, CI/CD, security, distributed systems, and operational excellence practices. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches teams on secure, compliant usage.

Lead design and deliver scalable, secure Java full‑stack solutions; write and review production code; drive adoption of AI‑assisted engineering; own resilience, observability, cloud, and microservices practices; evaluate vendors and lead engineering communities of practice.

Design and maintain AWS cloud infrastructure and cloud-native services supporting a 24/7 digital banking platform. Own applications, ensure compliance and documentation, improve AWS networking and third-party connectivity, maintain deployment pipelines, migrate CI/CD tooling, and support developer platform experience. Participate in on-call operations while prioritizing stability, scalability, security, performance, automation, and SDLC excellence.

Lead design and delivery of complex enterprise web UI features using React and TypeScript. Define front-end architecture and CI/CD patterns, own UI quality, testing, performance, accessibility, and observability. Promote AI-assisted engineering best practices, mentor engineers, evaluate vendor solutions, and automate remediation to improve operational stability.

Design, develop, and scale high-performance flight platform features and core services. Own customer-facing solutions end to end, from design and implementation through deployment, monitoring, troubleshooting, and operational support. Collaborate with global engineering, product, design, and business teams while promoting testing, documentation, scalability, reliability, performance, and code quality best practices.

Designs, builds, operates, and evaluates AI-native agentic capabilities across the sales and order lifecycle. Responsibilities include creating autonomous workflows, authoring prompts and guardrails, testing probabilistic behavior, building conversational experiences, integrating APIs and business systems, ensuring production safety and reliability, and supervising AI coding agents. The role also requires full-stack delivery, operational ownership, cross-functional collaboration, mentoring, and accountability for quality, security, and customer-facing outcomes.

Lead technical design, develop secure high-quality production code, drive AI-assisted engineering practices, automate remediation, evaluate vendor architectures, lead communities of practice, and coach teams on observability and responsible AI use.

Lead the architecture, modernization, and delivery of AWS-based FICC trading platforms. Design cloud-native microservices and event-driven systems, develop Java and Spring services, establish reusable infrastructure and CI/CD patterns, and implement security, resiliency, observability, and operational controls. Own end-to-end delivery and production stability while collaborating with Trading, Risk, P&L, and technology stakeholders. Drive AI-assisted engineering adoption, track operational KPIs, and support migration from legacy systems. Experience with fixed-income trading systems and extensive Java/Spring expertise are required.

Lead a hands-on engineering team to build cloud-native FinOps capabilities on AWS (and GCP). Design and operate backend services, Kubernetes automation, CI/CD, and cost-management tooling to improve cost governance, efficiency, and observability while partnering with platform, application, and SRE teams.