Sciative Solution

Job Description :

The primary role of Tech Architect will be to lead technical architecture of high scalable and data computation heavy SaaS products for AI powered dynamic price optimization, including but not limited to:

- Product performance : Ensure applications are scalable., fault tolerant, highly available, handle high degree of concurrency, deliver low latency, and perform AI tasks at massive scale ( 1Billion data processing per day).

- Tech architecture design : Lead end to end tech design of SaaS applications.

- Project management : Work with other software and full stack developers and oversee that the developments are

a) adhering to the tech design

b) following the software development and documentation standards

c) consistently of the highest quality.

- Plan integrations : Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.)

- Oversee data engineering : Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s)

- AI and ML modules : Ensure seamless integrations of AI/ML modules at production scale.

- App performance optimization : Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps.

- Product enhancements : Interact with client and business side teams to develop a roadmap for product enhancements.

Candidate profile :

- Entrepreneurial mind set with a positive attitude is a must.

- Prior experience (minimum 5 years) in tech architecture designs of multi-tenant SaaS full stack application development.

- Expert knowledge of new generation technologies is a must (e.g. Machine Queues, MSA architecture, PWA architecture, React, No-SQL, Serverless, Redis, Python, Django, SQL, Docker/Containers/Kubernetes, etc.).

- Strong acumen in algorithmic problem solving.

- Self-learner: highly curious, self-starter and can work with minimum supervision and guidance.

- Track record of excellence in academics or non-academic areas, with significant accomplishments.

- Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful.

Qualifications :

- BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field

years work experience.