DevOps Engineer

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 modern observability tools Automate operational processes to eliminate manual work and reduce human error System Reliability & Performance: Maintain high availability and performance of large-scale cloud platforms Implement proactive monitoring solutions for system health, performance metrics, and capacity planning Execute strategic patching cycles and infrastructure maintenance with minimal downtime using AWS suite of services Design disaster recovery and business continuity solutions Security & Compliance: Collaborate with InfoSec teams to implement automated vulnerability remediation workflows Build security-first infrastructure with proper access controls and audit trails Develop compliance monitoring and reporting automation Development & Innovation: Write clean, maintainable code in Python and other modern languages Create comprehensive unit and integration tests for infrastructure code Build internal tools and dashboards to improve team productivity Evaluate and implement emerging technologies including AI/ML tools where they add operational value Contribute to architecture decisions and technical roadmap planning QUALIFICATIONS Education Bachelor’s degree in Computer Science, MIS or related technical field required. Minimum Experience 3+ years professional experience managing large-scale, highly available cloud platforms 3+ years hands-on Python development with focus on automation and infrastructure 2+ years deep experience with AWS core services (EC2, Lambda, S3, CloudWatch, Systems Manager, API Gateway) Proven experience with Infrastructure as Code (CloudFormation, CDK, or Terraform) Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Specialized Knowledge & Skills Technical Skills - Core: Strong Programming: Advanced Python skills plus proficiency in at least one other language (Go, JavaScript, Java, or similar) Cloud Architecture: Deep understanding of AWS services, networking, security, and cost optimization Automation: Expert-level experience with CI/CD tools (Jenkins, CodePipeline, GitHub Actions) Monitoring & Observability: Hands-on experience with logging, metrics, and tracing solutions Containerization: Working knowledge of Docker and container orchestration Technical Skills - Modern Stack: Experience with modern web frameworks and APIs (React.js, RESTful services) Database management (both relational and NoSQL) Version control and collaborative development practices (Git, code reviews) Testing frameworks and quality assurance automation Basic understanding of machine learning concepts and AI tooling integration Preferred Qualifications: AWS certifications (Solutions Architect Associate or DevOps Engineer) Experience with Kubernetes or ECS for container orchestration Knowledge of chaos engineering and resilience testing Exposure to AI/ML services (SageMaker, Bedrock) and their operational integration Experience building internal developer tools and platforms Prof