Technical Manager – Full Stack, Cloud & AI Engineering - Data/Saa S
Experience: 9 – 12 Years
Location: Remote
Mode of Engagement: Full-time
No of Positions: 1 – 3
Educational Qualification: Bachelor's or Master's degree in Computer Science, or related field
Industry: Saa S / AI Products / Software Products
Notice Period: Immediate Joiners Preferred
What We Are Looking For
Strong experience leading full-stack engineering teams building Data Intensive Saa S products, enterprise platforms, and AI-powered applications.
Proven hands-on expertise across frontend, backend, databases, cloud infrastructure, and modern software architectures.
Strong knowledge of React.js, Next.js, Java Script, Type Script, Node.js, Express.js, and API-driven application development.
Experience designing scalable cloud-native applications on AWS, Azure, or GCP.
Strong understanding of database design, optimization, and performance tuning using My SQL, Postgre SQL, Mongo DB, and Redis.
Experience managing engineering teams consisting of Frontend Developers, Backend Developers, QA Engineers,



Dev Ops Engineers, UI/UX Designers, and AI Engineers.
Good understanding of Generative AI, LLM applications, AI Agents, RAG systems, prompt engineering, and AI product development.
Robust experience with software architecture, code quality, engineering processes, sprint planning, and delivery management.
Ability to balance hands-on technical leadership with people management responsibilities.
Responsibilities
Lead and manage end-to-end engineering delivery across frontend, backend, cloud, database, Dev Ops, and AI initiatives.
Define and review application architecture, technology stack decisions, scalability strategies, and engineering best practices.
Drive development of Saa S platforms, customer-facing applications, internal systems, APIs, and AI-powered products.
Collaborate with Product, Design, QA, Dev Ops, AI, and Business teams to ensure successful product delivery.
Oversee development using React.js

📌 Technical Manager (Jodhpur)
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