Technology Architect (AI, Full Stack & Cloud)
We are hiring a Technology Architect with 8+ years’ experience in full-stack, AI/ML & cloud platforms. Design, deploy, and optimize scalable, secure systems from concept to production. Motivate teams, define architecture best practices & drive innovation at Exdera.
Position:Technology Architect
Experience:8+ years (Full Stack Development & Architecture)
Location:[Onsite- Chennai & Bangalore]
About the Role
We are looking for ahands-on Technology Architectwith strong expertise inAI/ML, Node.js, Cloud platforms, and Full Stack development. The ideal candidate should be able todesign, build, and deploy scalable applications end-to-end, mentor teams, and drive technology strategy for products from concept to production.
Key Responsibilities
- 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 usingNode.jsand modern frameworks.
- Develop responsivefront-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 onAWS / Azure / GCP.
- Hands-on expertise inCloudflare, Akamai, and AWS CloudFront/CDN solutionsfor content delivery at scale.
- Ensure CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
- Optimize systems forperformance, security, and cost efficiency.
- 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
- Experience withAI/ML frameworks(TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.).
- Hands-on experience withcloud platforms(AWS, Azure, GCP) and microservices architecture.
- Working knowledge ofCDNs (Cloudflare, Akamai, AWS CloudFront)and web performance optimization.
- Strong knowledge ofdatabases(SQL, NoSQL, Graph DBs).
- Experience withDevOps 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 buildingAI-driven SaaS products.
- Exposure toMLOps and data engineering pipelines.
- Ability to work instartup / fast-paced environments.