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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable applications and APIs using Python, while managing cloud infrastructure on Azure and AWS. Proficient in machine learning workflows and containerization technologies, ensuring optimal performance and compliance with best practices.
Highest-signal resume keywords
Python Application DevelopmentMachine Learning LifecycleAzure Kubernetes ServicesCI/CD PipelinesCloud Infrastructure Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentMachine LearningApplication MonitoringREST APIsMicroservicesDistributed SystemsTroubleshootingPerformance OptimizationInfrastructure as CodeContainerization
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
DockerKubernetesTerraformAWSAzureXGBoostPyTorchScikit-Learn
Industry Keywords
Agile DeliveryCloud-Native Application DevelopmentCode of EthicsBusiness Conduct
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerKubernetesMicroservicesPythonPyTorchScikit-LearnTerraform
About the role
Key responsibilities & impact- Analyze, design, test, develop, and maintain software experiences
- Deploy, manage, and monitor cloud infrastructure supporting the Nimbus Uno model lifecycle platform
- Manage containerized workloads running in Azure Kubernetes Services
- Build and support machine learning workflows using scikit-learn, PyTorch, and XGBoost
- Collaborate with engineers and product teams to design, develop, test, and deploy AI-enabled solutions
- Develop scalable applications and APIs using Python and microservices-based architectures
- Assist with deployment, monitoring, troubleshooting, and performance optimization of AI applications in production environments
- Support cloud-based AI solutions across Azure and AWS platforms while following security and operational best practices
- Contribute to CI/CD pipelines, automated testing, containerization, and infrastructure automation efforts
- Participate in code reviews, documentation, and Agile delivery processes while following software engineering standards and best practices
Requirements
What you’ll need- Bachelor’s degree, or equivalent work experience
- Two to three years of relevant experience
- Experience developing applications using Python and modern software engineering practices
- Knowledge and experience with the Machine Learning Lifecycle
- Experience with Azure and/or AWS cloud platforms and cloud-native application development
- Understanding of REST APIs, microservices, distributed systems, and scalable application design
- Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, or Bicep)
- Understanding of application monitoring, logging, troubleshooting, and production support practices
- Strong collaboration, problem-solving, and communication skills with the ability to work effectively in a team environment
- This position is not open to visa sponsorship
- Must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension