
Technology Architect
2 weeks 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
We are looking for a hands-on Technology Architect with strong expertise in AI/ML, , 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 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 , 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, ₹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:
- 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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