
201 - 500 employees
Founded 2014
💳 Fintech
☁️ SaaS
🤝 B2B
Fintech • SaaS • B2B
U. S. Financial Technology is the largest and most technologically advanced mortgage securitization platform in the U. S. , operating the Common Securitization Platform for Fannie Mae and Freddie Mac. It manages issuance and administration of Single-Family Mortgage-Backed Securities (SF MBS / UMBS), centrally houses loan- and pool-level data in a 100% cloud-based platform, and provides near real-time reporting, analytics, and operational services to support lenders, GSEs, and investors. The company emphasizes data management, risk and cybersecurity, and enabling liquidity in the primary mortgage market to facilitate home purchases and refinances.
🔥 1 hour ago
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201 - 500 employees
Founded 2014
💳 Fintech
☁️ SaaS
🤝 B2B
Fintech • SaaS • B2B
U. S. Financial Technology is the largest and most technologically advanced mortgage securitization platform in the U. S. , operating the Common Securitization Platform for Fannie Mae and Freddie Mac. It manages issuance and administration of Single-Family Mortgage-Backed Securities (SF MBS / UMBS), centrally houses loan- and pool-level data in a 100% cloud-based platform, and provides near real-time reporting, analytics, and operational services to support lenders, GSEs, and investors. The company emphasizes data management, risk and cybersecurity, and enabling liquidity in the primary mortgage market to facilitate home purchases and refinances.
• Design and implement scalable AWS infrastructure using Infrastructure as Code • Build CI/CD pipelines with comprehensive testing and automated deployment • Develop monitoring and alerting systems using CloudWatch, Splunk, and modern observability tools • Automate operational processes to reduce manual work and human error • Maintain high availability and performance of large-scale cloud platforms • Implement proactive monitoring for system health, performance, metrics, and capacity planning • Execute patching cycles and infrastructure maintenance with minimal downtime • Design disaster recovery and business continuity solutions • Collaborate with InfoSec on automated vulnerability remediation workflows • Build security-first infrastructure with access controls and audit trails • Develop compliance monitoring and reporting automation • Write maintainable Python and other modern-language code • Create unit and integration tests for infrastructure code • Build internal tools and dashboards • Evaluate emerging technologies, including AI/ML tools, for operational value • Contribute to architecture decisions and technical roadmap planning • Participate in on-call rotation and occasional off-hours work during critical releases and maintenance windows • Collaborate with development, security, and business stakeholder teams
• Bachelor’s degree in Computer Science, MIS, or related technical field required • 3+ years of professional experience managing large-scale, highly available cloud platforms • 3+ years of hands-on Python development focused on automation and infrastructure • 2+ years of deep experience with AWS core services, including EC2, Lambda, S3, CloudWatch, Systems Manager, and API Gateway • Proven experience with Infrastructure as Code using CloudFormation, CDK, or Terraform • Must be authorized to work in the US without requiring employer sponsorship currently or in the future • Advanced Python skills and proficiency in at least one other language, such as Go, JavaScript, or Java • Deep understanding of AWS services, networking, security, and cost optimization • Expert-level experience with CI/CD tools such as Jenkins, CodePipeline, or GitHub Actions • Hands-on experience with logging, metrics, and tracing solutions • Working knowledge of Docker and container orchestration • Experience with modern web frameworks and APIs, including React.js and RESTful services • Database management experience with relational and NoSQL databases • Version control and collaborative development practices using Git and code reviews • Experience with testing frameworks and quality assurance automation • Basic understanding of machine learning concepts and AI tooling integration • Availability for occasional off-hours work during critical releases and maintenance windows • Participation in an on-call rotation • Preferred: AWS certifications, Kubernetes or ECS, chaos engineering, AI/ML services, and internal developer tools/platforms
• Performance bonus • 401k match • Healthcare coverage • PTO • Competitive total compensation package
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