Top Software Engineer Jobs in Mumbai

Leads and mentors software engineers while designing, developing, and maintaining Java-based services and APIs for direct-indexing portfolio management. Drives architecture, project delivery, testing, code reviews, and process improvements using AWS cloud-native technologies, microservices, distributed systems, and event-driven architecture. Collaborates with technology, business analysis, and investment teams to deliver scalable, resilient solutions in a regulated financial-services environment.

Leads software engineering within an agile Payments Technology team, building secure, scalable, high-throughput Java applications. Provides technical guidance, develops and reviews production code, drives AI-assisted engineering practices, improves SDLC automation, and influences product design and technical operations. Requires expertise in Java, Spring Boot, Kafka, cloud-native applications, distributed systems, performance tuning, and responsible AI use. Preferred experience includes Kafka Streams, microservices, Kubernetes, Apigee, behavior-driven design, agentic workflows, and production agentic AI.

Design, develop, operate, and optimize large-scale software-defined networking solutions for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps integrations, and secure gRPC/REST services. The role owns production reliability, incident response, performance tuning, and upstream open-source contributions while collaborating with SRE, DevOps, and network engineering teams.

Leads end-to-end software development for Walmart Ads’ Unified Recommendations Platform, including system design, coding, testing, deployment, monitoring, and maintenance. Builds scalable cloud-native distributed systems, integrates AI/ML capabilities, conducts design reviews, and drives technical execution. Mentors engineers, collaborates with stakeholders, defines success metrics, and improves engineering processes, tooling, and products.

Leads the design, development, and deployment of scalable data platforms and AI applications. Builds cloud-based data pipelines with Python, Scala, Spark, Airflow, and GCP services; ensures data quality, governance, lineage, and modeling. Develops RAG and agentic AI solutions using LangChain and LangGraph, supports SAP e-commerce data flows, monitors pipeline reliability, influences architecture, mentors engineers, and drives cross-functional technical excellence.

Design, develop, test, and optimize real-time embedded software for TI UCD digital power controllers. Implement power-control algorithms, device drivers, and communication interfaces; integrate firmware with hardware; perform board bring-up, debugging, validation, and automated testing. Support application engineers and customers, document software architecture and test procedures, and contribute to code reviews and process improvements.

Designs, develops, tests, and maintains Java applications, services, automation solutions, and reusable testing frameworks. Collaborates with product and engineering teams, contributes to architecture and code reviews, improves test coverage and quality metrics, supports CI/CD quality gates, and applies secure coding, monitoring, observability, and reliability practices. Uses tools including Playwright, RestAssured, TestNG, Cucumber, Git, and AI-assisted development tools.

Lead the design and implementation of scalable software systems across Built In’s product lines. Drive technical features, improvements, AI-enabled capabilities, and end-to-end software development on public cloud platforms. Analyze system-level issues, implement solutions, collaborate across product and technology teams, and mentor engineers while promoting agile development, observability, continuous delivery, and engineering excellence.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code reviews, CI/CD, and production support. Integrates AI/ML components, translates business needs into technical requirements, monitors performance, and promotes secure, maintainable engineering practices. The role also involves stakeholder collaboration, mentoring, and contributing to technical strategy and continuous improvement across Walmart’s AdTech platform.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Applies cloud-native architecture, manages the full software lifecycle, conducts design reviews, builds AI-driven applications, and ensures reliable production systems. The role mentors engineers, influences architecture, collaborates with stakeholders, and drives continuous improvement through innovation, automation, and engineering best practices.

Develop, test, maintain, and optimize secure, scalable Java and Spring Boot backend applications. Design RESTful APIs and microservices, work with AWS cloud services, databases, CI/CD pipelines, and automated testing. Own features from design through deployment and monitoring, participate in Agile and SAFe ceremonies, support production incidents, and collaborate with globally distributed teams while using AI-assisted development tools.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Design, build, operate, and optimize globally available distributed data ingestion and processing systems for Twilio Segment. The role handles high-volume streaming workloads, improves reliability, performance, security, and cost efficiency, collaborates with engineering and product teams, serves as a technical lead, mentors engineers, and partners with application teams to deliver customer solutions.

Design, build, and operate high-scale data routing, ingestion, and processing systems for Twilio Segment. Develop scalable distributed services in cloud environments, collaborate with product, design, and engineering teams, communicate technical trade-offs, mentor junior engineers, and participate in on-call support. Improve reliability, troubleshoot production issues, and refine operational tooling while delivering customer-focused features through modern CI/CD practices.

Design and maintain Playwright and TypeScript test automation, migrate Selenium suites, execute manual and automated testing, integrate tests into Azure DevOps CI/CD pipelines, stabilize flaky tests, investigate defects, validate releases, mentor junior QA members, and improve quality practices using AI-assisted testing tools.

Design and develop scalable, high-performance software in distributed, real-time, and event-driven architectures. Collaborate with cross-functional teams to align engineering strategies with business and client needs, maintain software engineering excellence, and communicate technical concepts and project updates to stakeholders. The role supports FinTech solutions across front-office, order management, portfolio management, and asset management domains.

Lead development and maintenance of the firms FS analytics platform, execute IT strategy and complex initiatives, analyze information for stakeholders, present to technology and business leadership, and support platform delivery to meet client demand and business growth.

Develop and ship full-stack enterprise features using C#/.NET, ASP.NET Core, SQL, and modern web technologies. Integrate Azure OpenAI and other Azure AI services for document extraction, RAG, agents, and tool use while ensuring observability, security, privacy, and compliance. Use AI-assisted development tools, contribute to architecture and code reviews, write automated tests, maintain Azure DevOps CI/CD pipelines, and collaborate across product, QA, infrastructure, hosting, and database teams.

Build and maintain production Android applications with AI-native interactions. Integrate chat, vision, voice, and recommendation features through backend APIs; design resilient streaming and partial-result experiences; optimize performance, memory, and responsiveness; and implement analytics, logging, monitoring, security, and feedback systems. Collaborate with backend and ML engineers on API contracts, diagnose production issues, and deliver stable, scalable mobile experiences.

Build and maintain production-grade iOS applications using Swift and SwiftUI, integrating AI features through backend APIs. Design reliable AI interaction patterns, optimize performance, memory, battery, and latency, and support on-device inference. Collaborate with backend and ML engineers on APIs and system behavior, capture user feedback for AI evaluation, maintain App Store quality, and diagnose production issues through monitoring and root-cause analysis.

Leads a software engineering squad delivering invoice ingestion, funder allocation, settlement, and supplier onboarding services. Defines technical tasks and architectures, reviews code and designs, maintains testing and quality standards, and ensures production-ready Kubernetes deployments. Mentors and manages developers, facilitates Agile ceremonies, tracks delivery risks, and coordinates DevOps pipeline improvements. The role requires strong Java and cloud-native engineering experience, with additional expertise in Scala or Python and familiarity with Angular.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Build and enhance full-stack, consumer-facing web applications for AI-driven product discovery, search, recommendations, and personalization. Develop reusable React components, integrate APIs and microservices, support backend services, and work with AI/ML and data teams. Contribute to scalable, secure, observable, and reliable solutions using search platforms, cloud services, databases, caching, and event-driven architectures. Collaborate cross-functionally with engineering, product, and design teams to deliver engaging digital experiences.

Build and enhance consumer-facing full-stack web applications for AI-driven product discovery, search, recommendations, and personalization. Develop React and TypeScript interfaces, integrate APIs and microservices, contribute to Java and Spring Boot backend services, and improve performance, accessibility, scalability, reliability, and observability. Collaborate with AI/ML, data, backend, product, and design teams while participating in design and code reviews and using AI-assisted engineering tools.