U.S. Financial Technology

DevOps Engineer

Remote, US$81,000-$107,500Posted 15 days ago

Job Description

OVERVIEW: The Company

U.S. Financial Technology (U.S. FinTech) is seeking an experienced DevOps Engineer to join our team of talented professionals. This is a full-time remote opportunity.

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.

Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists. RESPONSIBILITIES : Job Information

Are you a hands-on engineer who thrives on building robust, scalable systems? Join our dynamic Cloud Monitoring SRE team where you'll architect and maintain mission-critical cloud infrastructure while working with cutting-edge technologies. This role is perfect for a strong coder who wants to drive operational excellence through automation, intelligent monitoring, and modern DevOps practices. You'll work closely with development teams in a fast-paced environment where your technical skills directly impact system reliability and customer experience.

Key Job Functions

Infrastructure & Automation:* Design and implement scalable infrastructure solutions using AWS services and Infrastructure as Code * Build robust CI/CD pipelines with comprehensive testing and automated deployment capabilities * Develop monitoring and alerting systems using CloudWatch, Splunk, and...

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