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About the role
As a Technical Manager specializing in Full Stack, Cloud & AI Engineering for Data/SaaS products, your role will involve leading and managing end-to-end engineering delivery across various aspects such as frontend, backend, cloud, database, DevOps, and AI initiatives. Your responsibilities will include defining and reviewing application architecture, driving the development of SaaS platforms, collaborating with cross-functional teams, overseeing development processes, mentoring engineering teams, ensuring application security and performance, managing project planning and release management, driving adoption of AI technologies, and establishing engineering KPIs and standards. Key Responsibilities: - Lead and manage end-to-end engineering delivery across frontend, backend, cloud, database, DevOps, and AI initiatives. - Define and review application architecture, technology stack decisions, scalability strategies, and engineering best practices. - Drive development of SaaS platforms, customer-facing applications, internal systems, APIs, and AI-powered products. - Collaborate with Product, Design, QA, DevOps, AI, and Business teams to ensure successful product delivery. - Mentor engineering teams through code reviews, technical guidance, performance management, and career development. - Ensure application security, performance, scalability, reliability, and maintainability. - Manage project planning, resource allocation, sprint execution, risk mitigation, and release management. - Drive adoption of AI technologies, engineering automation, DevOps best practices, and development productivity improvements. - Establish engineering KPIs, development standards, documentation practices, and delivery excellence. Qualifications: - 1015 years of software engineering experience with at least 35 years in Technical Manager, Engineering Manager, Technical Lead, or Delivery Leadership roles. - Strong hands-on experience in JavaScript, TypeScript, React.js, Next.js, Node.js, Express.js, and REST API development. - Practical experience with MySQL, PostgreSQL, MongoDB, Redis, and database architecture. - Experience with AWS, Azure, or GCP, including deployment, monitoring, scaling, and cloud infrastructure management. - Strong understanding of Docker, Kubernetes, CI/CD pipelines, Git workflows, and DevOps practices. - Experience building and deploying AI/LLM-based applications using OpenAI, Claude, Gemini, LangChain, LlamaIndex, or similar frameworks. - Proven experience leading cross-functional engineering teams and delivering complex software products. - Strong understanding of Agile methodologies, SDLC, engineering metrics, and project management. - Excellent communication, stakeholder management, leadership, and decision-making skills. As a Technical Manager specializing in Full Stack, Cloud & AI Engineering for Data/SaaS products, your role will involve leading and managing end-to-end engineering delivery across various aspects such as frontend, backend, cloud, database, DevOps, and AI initiatives. Your responsibilities will include defining and reviewing application architecture, driving the development of SaaS platforms, collaborating with cross-functional teams, overseeing development processes, mentoring engineering teams, ensuring application security and performance, managing project planning and release management, driving adoption of AI technologies, and establishing engineering KPIs and standards. Key Responsibilities: - Lead and manage end-to-end engineering delivery across frontend, backend, cloud, database, DevOps, and AI initiatives. - Define and review application architecture, technology stack decisions, scalability strategies, and engineering best practices. - Drive development of SaaS platforms, customer-facing applications, internal systems, APIs, and AI-powered products. - Collaborate with Product, Design, QA, DevOps, AI, and Business teams to ensure successful product delivery. - Mentor engineering teams through code reviews, technical guidance, performance management, and career development. - Ensure application security, performance, scalability, reliability, and maintainability. - Manage project planning, resource allocation, sprint execution, risk mitigation, and release management. - Drive adoption of AI technologies, engineering automation, DevOps best practices, and development productivity improvements. - Establish engineering KPIs, development standards, documentation practices, and delivery excellence. Qualifications: - 1015 years of software engineering experience with at least 35 years in Technical Manager, Engineering Manager, Technical Lead, or Delivery Leadership roles. - Strong hands-on experience in JavaScript, TypeScript, React.js, Next.js, Node.js, Express.js, and REST API development. - Practical experience with MySQL, PostgreSQL, MongoDB, Redis, and database architecture. - Experience with AWS, Azure, or GCP, including deployment, monitoring, scaling, and cloud infrastructur
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