Engineering Manager

The primary role of the Engineering Manager will be to lead a team of high caliber software and full stack engineers to develop amazing SaaS products for AI powered dynamic price optimization, including but not limited to :

Job Responsibilities :

- Team management: Lead a team of high caliber software and full stack engineers.

- Product development: Lead development of web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data Processing per day).

- Manage development sprints and processes: Follow an agile development process in the team; breakdown requirements into smaller chunks; plan out a road map for development, and prioritize items for each sprint. Ensure quality of work and timely deliveries.

- 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, woo commerce; 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 8 years) in multi-tenant SaaS full stack application development.

- Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must.

- 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."

Skills

Engineering Management, SaaS, Artificial Intelligence, Machine Learning, Full Stack, MVC, SQL, NoSQL, Algorithm