DevOps Engineer

U.S. Financial Technology•Remote,

7d•$81,000 - $107,500•Remote

About The Position

U.S. FinTech is seeking an experienced DevOps Engineer to join their team. This is a full-time remote opportunity. U.S. FinTech 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. They provide best-in-class single-family issuance, bond administration, disclosure, and tax services, supporting a broad portfolio of products for their clients with full lifecycle management. Their market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale, bolstering liquidity in the secondary mortgage market. Their approach to securitization combines financial services expertise with technological innovation.

Requirements

Bachelor’s degree in Computer Science, MIS or related technical field required.
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.
Advanced Python skills plus proficiency in at least one other language (Go, JavaScript, Java, or similar).
Deep understanding of AWS services, networking, security, and cost optimization.
Expert-level experience with CI/CD tools (Jenkins, CodePipeline, 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 (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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.