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Tier-1 brand, mid-senior generalist backend title, metro location, and broad required skills increase applicant competition.
Strong enterprise risk and compliance context reduces cross-industry transferability despite transferable backend skills.
Explicit 10–15 years plus mandatory Python, microservices, Kubernetes, and AI requirements indicate strict technical filters.
Lead design and delivery of scalable Python-based credit risk applications and microservices architectures ensuring performance, resiliency, and compliance.
Partner with cross-functional teams (risk, product, technology) to integrate platforms, implement enhancements, and enable new credit risk decisioning products.
Provide technical leadership and mentorship while enforcing engineering standards and applying AI/GenAI capabilities to modernize workflows in a regulated financial environment.
10–15 years in application development or systems engineering in complex environments.
Advanced proficiency in Python and SQL; experience with FastAPI, Pydantic, or Django for API services.
Experience designing and operating microservices architectures using Docker and Kubernetes.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM field (Master’s preferred).
Experienced senior technical leader skilled in credit risk or financial risk technology platforms operating at scale.
Demonstrated ability to lead end-to-end application architecture, coding standards, and engineering discipline in regulated, enterprise environments.
Familiar with modern AI/GenAI technologies and integrating them responsibly into mission-critical risk applications.