Top Tech Jobs & Startup Jobs in Mumbai

Lead the design, development, testing, maintenance, and enhancement of scalable Java enterprise software and distributed systems. Define technical direction, prepare design specifications, conduct architecture and code reviews, mentor engineers, and support complex technical projects. Drive cloud, DevOps, AI, and modernization initiatives using AWS or Azure, CI/CD, big data, and secure engineering practices. Collaborate across teams, troubleshoot customer issues, evaluate emerging technologies, and make independent technical decisions.

Supports global mobility and workforce transitions across countries and regions. Analyzes and resolves lower-complexity problems, assists with establishing operations in new locations, and contributes to workforce expansion and productivity initiatives. Works primarily with internal peers, follows moderate guidance, and may operate in rotational shifts.

Design, build, configure, test, and debug Salesforce applications tailored to business requirements. Collaborate with stakeholders and cross-functional teams, gather requirements, develop scalable solutions, participate in code reviews, and contribute to development improvements. The role requires Salesforce Lightning Web Components, Apex, Salesforce APIs, web development technologies, Salesforce platform expertise, and Git proficiency.

Develop and enhance scalable Java full-stack software and distributed systems. Design technical solutions, implement and test applications, improve existing codebases, conduct architecture and code reviews, troubleshoot production issues, and support customers. Lead technical projects, mentor developers, collaborate across teams, and drive cloud, DevOps, AI modernization, and SaaS initiatives using AWS or Azure, CI/CD, big data, and modern engineering practices.

Analyzes, designs, and improves business workflows using SAP Portfolio and Project Management. Identifies process inefficiencies, develops optimization solutions, gathers product requirements and use cases, and establishes continuous monitoring and feedback mechanisms. Collaborates with stakeholders, facilitates workshops, maintains process documentation, and provides subject-matter expertise and team leadership across multiple teams.

Design, build, configure, test, and deploy SAP applications that meet business requirements. Lead end-to-end implementations involving SAP AI services, Agentic AI workflows, data and model integration, and solution architecture. Serve as a subject matter expert, collaborate across teams, make technical decisions, manage team performance, solve cross-team problems, facilitate knowledge sharing, and ensure project alignment with business objectives.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG features where appropriate, and use AI-assisted development tools for coding, debugging, testing, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, CI/CD, cloud-native, and software engineering best practices.

Develop and enhance custom Python software applications using modern frameworks and agile practices. Collaborate across teams, make technical decisions, mentor junior engineers, troubleshoot issues, and improve application performance, scalability, and user experience. The role also involves managing team workflows and serving as a subject matter expert.

Design, build, configure, test, and deploy SAP-based applications and AI-driven workflows. Translate business processes into scalable Agentic AI solutions within SAP landscapes, integrate SAP SD with other modules, troubleshoot issues, and collaborate with cross-functional teams. Serve as a subject matter expert, guide team decisions, monitor project progress, facilitate knowledge sharing, and communicate solutions to clients.

Develop and enhance full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists to deliver scalable, high-quality solutions using agile practices, cloud-native technologies, and CI/CD pipelines.