
Technology Architect
4 days ago
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
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.
- **AI/ML Expertise**:
- 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**.
Pay: ₹1,032,789.79 - ₹2,446,246.08 per year
Application Question(s):
**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
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