Principal Engineer- Cloud Infrastructure

Talent Acquisition Specialist at Microchip Technology Inc.

Are you looking for a unique opportunity to be part of something great? Want to join a 17,000-member team working on the technology that powers the world around us? The culture at Microchip embraces trust, empowerment, respect, diversity, and open communication. With a multi‑billion‑dollar global footprint, we help design the technology that runs the world, and we invest heavily in employee development, values‑based decision making, and community.

Our nationally‑recognized Leadership Passage Programs enroll over a thousand people annually, and we celebrate diversity and workplace excellence.

Visit our careers page to see what exciting opportunities and company perks await!

• Architect and implement scalable, secure, and highly available cloud solutions.
• Develop cloud adoption strategies, reference architectures, and best practices.
• Evaluate and recommend cloud services and technologies to meet business needs, including AI and machine learning services.

• Lead the deployment, configuration, and maintenance of cloud infrastructure and services.
• Oversee migration of on‑premises workloads to the cloud.

• Design and implement solutions using Azure, AWS and Oracle AI/ML services.
• Collaborate with data science and analytics teams to support AI‑driven initiatives.
• Ensure secure and scalable integration of AI models and services within cloud environments.
• Design, deployment, and governance of Azure OpenAI Service, ensuring compliance with enterprise data privacy, legal, and responsible AI requirements; implement infrastructure as code, manage access controls, oversee cost allocation, and provide training and support for business units leveraging AOI.

• Automate infrastructure provisioning, configuration, and management using Infrastructure as Code (IaC) tools (e.g., Terraform, Cloud Formation, Bicep).
• Optimize cloud resources for cost, performance, and reliability.

• Implement and enforce security best practices, including identity and access management, encryption, and monitoring.
• Ensure compliance with organizational policies and industry standards.

• Partner with development, security, and operations teams to support application deployments and troubleshooting.
• Mentor and guide junior engineers and administrators.

• Design and implement monitoring, logging, and alerting solutions.
• Lead incident response and root cause analysis for cloud‑related issues.

• Stay current with emerging cloud and AI technologies and industry trends.
• Drive continuous improvement initiatives for cloud operations and architecture.

• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 10+ years of experience in cloud engineering, architecture, or administration.
• Deep hands‑on expertise with one or more cloud platforms (AWS, Azure, Google Cloud).
• Strong experience with cloud‑agnostic tools (Terraform, Kubernetes, Docker, etc.).
• Advanced understanding of networking, security, and virtualization in cloud environments.
• Proficiency in scripting and automation (Python, Bash, Power Shell, Terraform, Bicep, etc.).
• Experience with monitoring, logging, and alerting tools (e.g., Cloud Watch, Azure Monitor, Stackdriver, Prometheus).
• Hands‑on experience with AI and machine learning services in AWS (e.g., Sage Maker, Rekognition, Comprehend, Lex) and Azure (e.g., Azure Machine Learning, Cognitive Services, Bot Service).
• Ability to integrate and deploy AI models and services in cloud environments.
• Excellent problem‑solving, communication, and leadership skills.
• Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect) are highly desirable.

0% – 25%

Feeling, Handling, Hearing, Seeing, Talking, Works Alone, Works Around Others

80% sitting, 10% walking, 10% standing

We offer a total…