Engineering Manager

Responsibilities-

● Designed, developed and deployed cloud-native applications (we use AWS)

• Working on or leading enterprise tech products and worked with enterprise customers.

• Mentor & grow / Hire Engineering Managers to lead up these individual units.

• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.

• Set up the organization & processes to enable timely delivery of projects with high quality.

• Set up best practices for development and champion their adoption.

• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.

• Oversee Architecture & design of technically robust, flexible and scalable solutions.

• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organizations.

• Create clear career paths for team members and help them grow with regular & deep mentoring.

• Identify, define, and coordinate the training needs of the team.

• Perform regular performance evaluation and share and seek feedback on a regular basis

• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.

• Ability to work with external partners and vendors to integrate with KredX product

• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX

• Appropriately escalate any issues/concerns that require immediate attention from other affected parties

• Always be thinking about the engineering systems and business from different angles fraud, downtimes, scale, business direction and more

Skills & Requirements:

● Experience in working with large scale unstructured data, and data science

• Deep Understanding of enterprise grade technologies.

• Deep understanding & expertise with highly transactional, large relational and complex systems.

• Strong leadership skills.

• Possess superb troubleshooting and problem analysis skills.

• Knowledgeable about new engineering paradigms and developments in software engineering field.