Scienaptic - Engineering Manager

Engineering Manager

Scienaptic is on a mission to increase credit availability by transforming technology used in credit decisioning. Over 150 years of credit experience is embedded in Scienaptic. An AI native credit decision platform. Our clients across banks, credit unions, fintech, and other lenders use the platform to constantly improve the quality of underwriting decisions. This enables them to say 'yes' to borrowers more often and faster.

We are looking for a Principal Engineering Manager to join our growing team of Analytic experts. If you are a dynamic leader who has directly managed a team of highly competent developers in a fast- paced work environment, then this might be the role for you. You will be working with some of the best-in-class Coders, AI/ML Scientist and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos.

What you will do :

- Working with leadership team and customers to identify & convert key functional requirements into platform design & architecture.

- Defining and evolving the platform roadmap and its alignment with the company strategy, representing it in front of prospective customers and investors.

- Implementing key functionalities using chosen tools and tech-stack, also optimize the tech stack choices

- Owning product & architecture, design, scalability, reliability, performance

- Coaching and leading a team of frontend/backend developers and testing engineers

- Ensuring that platform works seamlessly in the complex big data environments at clients. end and supports complex predictive processes that entail running 100s of ML models on daily basis

Requirements :

- 12+ years' experience of building a highly scalable platform

- Experience in leading an engineering team of minimum of 10 members.

- Experience in Financial services and/or Analytics platforms will be a significant plus

- Expertise in Java / Scala and Spark / Hadoop environments, Microservices, AWS, Spark, Kubernetes, Angular/React.

- AWS certification is a plus