This role is a key position with the Engineering Team focused on providing technical guidance and support for our partners. This position will have responsibilities for being the technical liaison for deploying the LenddoEFL product during on-site integrations, for providing technical support and troubleshooting issues directly with partners, and for attending partner meetings in person during deployments. Additionally, as part of the Engineering Team, the System Integrator will also cross-train in other aspects of launching and servicing our partners in order to provide a high quality, expedited deployment process.
Integration support for deployments
Deploy and assist with the design of new on-premise infrastructure
Provide technical requirements related to on-site deployments to Sales and Engineering teams to aid in developing scopes of work.
Develop and enforce deployment best practices both internally and with partners to standardize our processes.
Attend on-site client meetings, including client kick-off meetings, to facilitate communication and expedite deployments.
Manage responses to client requests such as completing IT questionnaires, developing process flow diagrams, and formulating architecture diagrams.
Write technical specifications for developers, translating partner needs to tangible product configuration
Configure partners, campaigns and environments needed for product delivery.
Level 1 and Level 2 Support
Provide Level 1 support to regional partners, and provide Level 2 support when necessary to solve the reported issues. Escalate as needed to Level 3.
Need to act as the Point of Contact (POC) for the company
Manage complex implementations
Resolve project issues, mitigate risks, and manage scope change requests.
Provide status reporting on schedule, resources, and, key decisions, and milestone delivery.
Education and Experience:
5 years’ experience in Linux system administration, including network layer VPNs and firewall configuration
2 years’ experience in system administration of Cloud Systems
Experience with Docker and Kubernetis or other scripting languages an advantage
Excellent English communication skills
Strong analytical and troubleshooting skills
Lenddo has developed its patented technology based on 4 years of actual online lending experience that included collection, analysis and processing of billions of data points. The Lenddo Data Science team includes PhDs and uses advanced machine learning techniques to build predictive algorithms. In January 2015, Lenddo opened its technologies for third parties, such as banks, lending institutions, utilities companies and credit card worldwide to reduce risk, increase portfolio size, improve customer service and verify applicants.
Lenddo is a technology company that forged the idea of using non traditional data to compute people’s credit scores. It was founded in 2011 and its main focus initially was to improve lives of the emerging middle class in developing countries by providing micro loans for specific purposes.
This focus has evolved to work with financial institutions (and other firms) as partners, so its customers can use their social networks and other data such as Facebook, Linkedin, Google, Yahoo and Twitter to prove their identity and creditworthiness. Lenddo now offers a simple and secure way to prove identity and establish your character online to unlock loans, online shopping and improve chances of employment.