Sciative Solutions - Engineering Manager - Full Stack Application Development

<p>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 :<br/><br/>Job Responsibilities :<br/><br/>- Team management: Lead a team of high caliber software and full stack engineers.<br/><br/>- Product development: Lead development of web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data Processing per day).<br/><br/>- 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.<br/><br/>- 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.)<br/><br/>- Oversee data engineering: Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s);<br/><br/>- AI and ML modules: Ensure seamless integrations of AI/ML modules at production scale.<br/><br/>- App performance Optimization: Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps.<br/><br/>- Product enhancements: Interact with client and business side teams to develop a roadmap for product enhancements.<br/><br/> Candidate Profile :<br/><br/>- Entrepreneurial mind set with a positive attitude is a must.<br/><br/>- Prior experience (minimum 8 years) in multi-tenant SaaS full stack application development.<br/><br/>- Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must.<br/><br/>- Strong acumen in algorithmic problem solving.<br/><br/>- Self-learner: highly curious, self-starter and can work with minimum supervision and guidance.<br/><br/>- Track record of excellence in academics or non-academic areas, with significant accomplishments.<br/><br/>- Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful."</p> (ref:hirist.tech)