Cloud Engineer

• Define and lead the enterprise security strategy and architecture for AI-powered systems and Azure cloud environments, including identity, network security, data protection, and secure cloud and hybrid designs.
• Establish and govern security controls, guardrails, and runtime protections for agentic AI workflows, including tools such as Claude, GitHub Copilot, and custom AI agents.
• Lead threat modeling efforts for AI systems and Azure-hosted workloads, identifying and mitigating risks associated with adversarial inputs, cloud vulnerabilities, autonomous agents, and emerging attack vectors.
• Evaluate AI-generated and cloud-integrated code for security, quality, correctness, and performance, and define enterprise standards for secure code review practices.
• Architect and oversee security tooling and monitoring capabilities that evaluate, monitor, and harden AI agents and Azure resources at scale using technologies such as Microsoft Defender for Cloud, Azure Monitor, and Microsoft Sentinel.
• Embed security governance into the software development lifecycle and Azure DevSecOps pipelines through Security Posture Management, Azure Policy, Key Vault, and Infrastructure-as-Code standards.
• Research emerging AI and cloud security threats, regulations, and industry trends, translating insights into actionable strategies and enterprise security improvements.
• Mentor and influence engineering teams on secure AI adoption, cloud security best practices, and enterprise security standards.

Principal AI & Cloud Security Engineer

• Lead culture of change for cloud adoption
• Develop and coordinate the cloud architecture
• Refine and coordinate the adoption of the Cloud Strategy
• Collaborate with stakeholders to move from traditional infrastructure vendors toward cloud providers
• Partner with EA and other stakeholders to create governance for on-prem and cloud infrastructure
• Collaborate with architecture, SMEs, and stakeholders to evaluate, design, and validate cloud and infrastructure architectures
• Define and guide the enterprise AI platform and ecosystem architecture
• Establish architecture standards and governance guardrails for responsible AI adoption
• Drive sustainable cloud and infrastructure cost optimization

Cloud and AI Platform Architect

• Leads cross-functional teams to design, implement, and optimize Banner Health’s multi-cloud infrastructure across Azure, AWS, and OCI.
• Develop the long-term cloud strategy ensuring scalability, security, resiliency, and cost-effectiveness across the organization’s cloud systems.
• Work closely with Cloud Platform Engineering & Operations and Network Operations departments.
• Lead cloud adoption and migration, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation.
• Provide strategic and technical oversight in developing, managing, and optimizing multi-cloud environments.

Principal Cloud Architect

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices.
• You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment.
• Be involved in designing and building services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.
• Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

Software Engineer – API, Microservices, AWS

• Develop and maintain AWS-based applications with a focus on IVR and telephony systems
• Build resilient IVR solutions ensuring proper failure handling, retries, and fallback logic
• Manage AWS infrastructure using Infrastructure as Code practices
• Design and integrate APIs for seamless IVR workflows
• Model and access data using DynamoDB to support application functionality
• Collaborate with cross-functional teams to enhance application performance and reliability

Senior AWS Connect Developer

• Provides service desk engineering escalation support within the J7 endpoint/identity scope
• Handles complex/escalated ticket resolution tied to imaging, baseline, enrollment, patching, and telemetry (not routine Tier 1).

Cloud Engineer jobs in Idaho

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Principal AI & Cloud Security Engineer

Cloud and AI Platform Architect

Principal Cloud Architect

Software Engineer – API, Microservices, AWS

Senior AWS Connect Developer

Cloud Service Desk Specialist