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Technical Manager – Full Stack, Cloud & AI Engineering - Data/SaaS
FullStackTechies —Remote
- ₹10,00,272.98 - ₹16,30,269.67 a year
- Full-time
- Remote
- Azure
- Management
- Computer Science
- Work from home
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Technical Manager – Full Stack, Cloud & AI Engineering - Data/SaaS
FullStackTechies —Remote
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₹10,00,272.98 - ₹16,30,269.67 a year
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Technical Manager – Full Stack, Cloud & AI Engineering - Data/SaaS

FullStackTechies
Remote

Quick apply

Job details

Full-time
₹10,00,272.98 - ₹16,30,269.67 a year
1 day ago

Benefits

Work from home

Qualifications

CI/CD
Cloud infrastructure
Azure
Management
Node.js
Law
Computer Science
React
Kubernetes
Full-stack development
Software deployment
DevOps
Git
MongoDB
Master's degree
Application development
Databases
Database design
AWS
Project management
Express.js
Docker
Bachelor's degree
Product development
JavaScript
PostgreSQL
Continuous integration
Redis
REST
APIs
Agile
SaaS
AI
TypeScript
Communication skills
Software architecture
MySQL
SDLC

Full job description

Technical Manager – Full Stack, Cloud & AI Engineering - Data/SaaS
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: SaaS / AI Products / Software Products
Notice Period: Immediate Joiners Preferred

What We Are Looking For

Strong experience leading full-stack engineering teams building Data Intensive SaaS 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, JavaScript, TypeScript, 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 MySQL, PostgreSQL, MongoDB, and Redis.
Experience managing engineering teams consisting of Frontend Developers, Backend Developers, QA Engineers, DevOps Engineers, UI/UX Designers, and AI Engineers.
Good understanding of Generative AI, LLM applications, AI Agents, RAG systems, prompt engineering, and AI product development.
Strong 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, 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.
Oversee development using React.js, Next.js, Node.js, cloud services, databases, and modern engineering frameworks.
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

10–15 years of software engineering experience with at least 3–5 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.

Pay: ₹1,000,272.98 - ₹1,630,269.67 per year

Benefits:

Work from home

Application Question(s):

How many years of experience do you have leading cross-functional engineering teams and delivering SaaS or software products?
How many years of experience do you have in software engineering and full-stack application development?
How many years have you worked in Technical Manager, Engineering Manager, Technical Lead, or Delivery Leadership roles?
How many years of experience do you have building or deploying AI/LLM-based applications using OpenAI, Claude, Gemini, LangChain, LlamaIndex, or similar frameworks?
How many years of hands-on experience do you have with Node.js, Express.js, and REST API development?
How many years of hands-on experience do you have with React.js, Next.js, JavaScript, and TypeScript?
Current CTC ( monthly )
Notice Period (days)

Work Location: Remote

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