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Company Description
Founded in 2014, Scienaptic AI is a leading financial technology company with a mission to drive financial inclusion through AI-powered credit decisioning. Its platform combines advanced machine learning algorithms, extensive data integration, and robust risk and lending monitoring processes. Supporting over 150 lenders managing $3.9 trillion in assets, Scienaptic has enabled access to credit for over 1.7 million underserved individuals monthly. Recently, the company gained strategic equity investment from its Credit Union Service Organization (CUSO) clients, solidifying its commitment to inclusive and effective lending solutions. Recognized as one of the most innovative fintech companies, Scienaptic has been named to the Deloitte Technology Fast 500 and the CB Insights Fintech 100.
6+ years in Technical Integrations, Product Implementation, or client-facing technical roles.
Strong expertise in monitoring & observability tools (Grafana, CloudWatch, MongoDB Atlas, APM,
log analysis tools).
Hands-on experience in Python for automation and client solutions
Proficient in REST APIs, Linux, Jenkins, GitHub, shell scripting, and AWS (certification is a plus).
Experience with multi-tenant systems, Ansible, Docker, Kubernetes, workflow automation and
integration pipelines
Excellent debugging, problem-solving skills and client communication skills; capable of managing
SLAs and escalations.
Be willing to travel up to 25% of the time to client site
What will you work on:
Own end-to-end client issue resolution across application, infrastructure, and database layers
Troubleshoot production issues using observability tools to identify root causes
Implement workflow integrations, deployments, and automation pipelines
Collaborate with Engineering, DevOps, and Data Science teams for timely resolution
Mentor junior team members and drive operational excellence
Ensure SLA adherence, stakeholder communication, and issue closure
Solve technical challenges and client issues with hands-on investigation and client calls
Provide technical assistance and contribute to problem-solving during deployment and integration
phases
Why work with us
Work with a high-calibre team of engineers, data scientists, and product experts.
High ownership role with high visibility
Opportunity to influence system reliability and shape operational excellence.
Job ID: 142641733