Top Tech Jobs & Startup Jobs in Mumbai

Designs, configures, and enhances SAP CO Management Accounting solutions, integrating them with SAP modules and external systems. Leads team decisions, solves complex business and technical problems, improves processes, mentors junior staff, and coordinates cross-functional delivery using agile practices.

Design, build, configure, and optimize software applications using Python to meet business requirements. Collaborate across teams, contribute to technical decisions, troubleshoot and debug applications, improve performance and user experience, manage team priorities, and mentor junior developers. The role requires expertise in application development frameworks, version control, databases, and SQL, with AWS administration as a preferred skill.

Develop and enhance scalable custom software applications using Java full-stack technologies. Collaborate with teams to understand requirements, design solutions, write and review code, document specifications, and ensure quality standards. The role requires independent execution, subject matter expertise, participation in technical discussions, and problem-solving. Experience with Python, C++, databases, SQL, Git, and modern web development frameworks is beneficial.

Lead the planning and execution of data migration projects, coordinating cross-functional teams to ensure accurate, complete, and reliable data transfer. Define migration strategies, controls, timelines, and quality standards; monitor progress, manage risks, resolve issues, and support decisions across teams. The role also mentors junior team members and improves migration efficiency through scalable, quality-focused processes.

Designs and implements DevOps tools, cloud infrastructure, and secure CI/CD pipelines. Leads infrastructure automation, deployment optimization, troubleshooting, and container orchestration initiatives. Acts as a subject matter expert, makes team decisions, coordinates cross-functional efforts, and mentors junior engineers. The role requires strong DevOps architecture expertise, AWS, Python, CloudFormation, infrastructure as code, and experience securing and scaling development environments.

Lead the architecture and delivery of production-ready agentic AI solutions for data migration and reverse engineering. Responsibilities include designing LLM, RAG, tool-calling, and agent orchestration workflows; developing AI agents for data discovery, code analysis, mapping, and ingestion; establishing evaluation, guardrails, observability, and scalability practices; guiding technical decisions; mentoring engineers; and collaborating with business and technical stakeholders. The role also requires Python, SQL/T-SQL, ETL, legacy-system analysis, and solution architecture expertise.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate APIs and pre-built AI services, implement RAG features, and use AgentAI copilots and LLM tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following enterprise SDLC, agile, quality, and cloud-native development practices.

Leads planning and execution of large-scale data migration projects, ensuring accurate, complete, and validated data transfers into target systems. Coordinates multiple teams, develops migration strategies and controls, manages risks, monitors quality and timelines, and facilitates stakeholder communication. Requires Snowflake expertise, data governance and validation knowledge, cloud data platform familiarity, and strong problem-solving skills.

Design and deliver enterprise Generative and Agentic AI solutions across SAP landscapes. Architect RAG and GraphRAG pipelines using SAP BTP, AI Core, Generative AI Hub, HANA Cloud, LLMs, vector search, and knowledge graphs. Develop Python applications, APIs, ETL pipelines, and LangChain or LangGraph orchestration workflows. Lead model integration, deployment, monitoring, governance, and optimization while translating business requirements into scalable solutions. Collaborate with cross-functional teams, manage delivery, mentor staff, and communicate business value to clients and stakeholders.

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