Job Description

- Technology Architect (AI, Full Stack & Cloud)

Position:

Technology Architect

Experience:

6+ years (Full Stack Development & Architecture)

Location:

[Onsite - Chennai & Bangalore]

About the Role

We are looking for a

hands-on Technology Architect

with strong expertise in

AI/ML, Node.js, Cloud platforms, and Full Stack development

. The ideal candidate should be able to

design, build, and deploy scalable applications end-to-end

, mentor teams, and drive technology strategy for products from concept to production.

Key Responsibilities

Architecture & Design

Define and implement scalable, secure, and high-performing system architectures. Lead end-to-end product development from design to deployment. Create best practices, coding standards, and architectural frameworks.

Full Stack Development

Build backend services using

Node.js

and modern frameworks. Develop responsive

front-end applications

(React/Angular/Vue). Integrate APIs, third-party services, and AI/ML models into applications.

AI/ML Expertise

Apply AI/ML techniques (NLP, LLMs, predictive models, etc.) to real-world business problems. Deploy AI solutions into production-ready environments.

Cloud, CDN & DevOps

Architect and manage deployments on

AWS / Azure / GCP

. Hands-on expertise in

Cloudflare, Akamai, and AWS CloudFront/CDN solutions

for content delivery at scale. Ensure CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices. Optimize systems for

performance, security, and cost efficiency

.

Leadership & Collaboration

Collaborate with product managers, designers, and developers to deliver innovative solutions. Mentor engineering teams and ensure high-quality delivery. Evaluate new technologies and provide thought leadership on adoption.
Required Skills & Qualifications

Proven experience in

end-to-end app development and deployment

(concept ? production). Strong expertise in

Node.js, JavaScript/TypeScript, and front-end frameworks (React/Angular/Vue)

. Experience with

AI/ML frameworks

(TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.). Hands-on experience with

cloud platforms

(AWS, Azure, GCP) and microservices architecture. Working knowledge of

CDNs (Cloudflare, Akamai, AWS CloudFront)

and web performance optimization. Strong knowledge of

databases

(SQL, NoSQL, Graph DBs). Experience with

DevOps tools

(Docker, Kubernetes, Terraform, Jenkins, GitHub Actions). Solid understanding of system design, scalability, and security best practices. Excellent problem-solving, analytical thinking, and communication skills.
Preferred

Prior experience building

AI-driven SaaS products

. Exposure to

MLOps and data engineering pipelines

. Ability to work in

startup / fast-paced environments

.
Job Type: Full-time

Pay: ₹1,032,789.79 - ₹2,446,246.08 per year

Application Question(s):

Have you independently built and deployed a full-stack application (backend, frontend, AI/ML integration, and cloud deployment) from scratch?
Experience:

Node.js: 6 years (Preferred) AI/ML frameworks: 3 years (Preferred) Cloudflare/Akamai: 1 year (Preferred) SASS Product development: 4 years (Preferred)
Work Location: In person