Lead or participate in high level technical concepts spanning technology and business
Develop specifications for complex infrastructure systems, design and test solutions
Contribute to the testing of business, application and technical infrastructure requirements
Drive solutions to reduce recovery
Review and analyze solutions for cloud security, secrets management and key rotations
Design, code, test, debug and document programs using Agile development practices
Design complex system upgrades
Resolve troublesome trends as they develop
Develop a long range plan designed to resolve problems and prevent them from recurring
Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience developing software, automation, or data processing solutions using Python
2+ years of experience with observability and monitoring technologies such as Splunk, Grafana, Prometheus, Elastic, or similar tools
Desired Qualifications:
Prior experience with Wells Fargo technology systems
Strong knowledge of Site Reliability Engineering principles and practices, including observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident management, problem management, and operational resilience
Experience developing Generative AI or Agentic AI solutions
Knowledge of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI-assisted workflows, and API-based AI integrations
Experience with workflow automation and low-code/no-code platforms
Experience using operational telemetry and data analytics to identify trends, anomalies, and opportunities for proactive remediation
Experience with observability and monitoring platforms such as Splunk, Grafana, Prometheus, Elastic, or similar technologies
Experience with containers, Kubernetes, and Infrastructure as Code practices
Strong problem-solving, communication, and collaboration skills