U.S. Financial Technology is seeking an experienced DevOps Engineer to join their team of talented professionals. The role involves architecting and maintaining mission-critical cloud infrastructure while driving operational excellence through automation and modern DevOps practices.
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
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. U.S. FinTech does not offer H-1B sponsorship for this position
- 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
- 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
- Hands-On Mindset: Prefers to build and fix things directly rather than just manage processes
- Problem Solver: Strong analytical skills with ability to troubleshoot complex distributed systems
- Code Quality Focus: Writes maintainable, well-tested code with proper documentation
- Collaborative: Works effectively with development, security, and business stakeholder teams
- Continuous Learner: Stays current with industry trends and emerging technologies
- Ownership Mentality: Takes accountability for system reliability and customer impact
- Availability for occasional off-hours work during critical releases and maintenance windows
- Participation in on-call rotation with proper tooling and escalation procedures
- Remote work environment with emphasis on team collaboration and hands-on problem solving
- 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