Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet. We are seeking a highly skilled Linux Container Platform Engineer to manage, maintain, and evolve our containerized environments while supporting cloud migrations in AWS and Windows Server–based systems. This role will be responsible for ensuring reliability, scalability, and security across our hybrid infrastructure. This is a remote position that we are open to candidates sitting in the following states: FL, GA, IA, ID, IN, KS, MI, NC, NH, PA, SC, TN, TX, VA, WI, MD, or OR. Key Responsibilities: - Design, deploy, and manage Kubernetes clusters (EKS and/or self-managed) in production environments - Maintain and optimize containerized workloads using such as containers (OCI), containers, Kubernetes, image build pipelines, and registry hygiene - Implement, tuning, and manage Datadog for Kubernetes monitoring, logging, and alerting - Lead and support AWS cloud migrations, including planning, execution, and post-migration optimization - Manage AWS infrastructure components such as EC2, EKS, VPCs, IAM, S3, RDS, and CloudWatch - Support and maintain Windows Server environments, including patching, Active Directory, DNS, Group Policy, and troubleshooting - Implement and manage CI/CD pipelines for containerized applications - Monitor system performance, availability, and security; respond to incidents and outages as a member of the IT on-call rotation - Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation, etc.) - Collaborate with development, security, and operations teams to improve platform reliability - Document architecture, processes, and operational procedures - This position has a on-call coverage rotation Required Qualifications: - High School Diploma or Equivalent - 8+ years of IT experience with 3+ years of hands-on experience managing Kubernetes in production - Experience managing cloud environments such as AWS services and cloud migration projects - Hands-on experience with Datadog, specifically for Kubernetes monitoring, logging, and APM - Solid understanding of Windows Server administration and troubleshooting - Experience with container technologies - Knowledge of networking concepts (load balancing, DNS, firewalls, TLS) - Experience with monitoring and logging tools (Prometheus, Grafana, CloudWatch, ELK, etc.) - Scripting skills (PowerShell, Bash, or Python) - Strong problem-solving and communication skills Preferred Qualifications: - AWS certifications (Solutions Architect, DevOps Engineer, etc.) - Kubernetes certifications (CKA, CKAD, or CKS) - Experience tuning Datadog dashboards, monitors, and alerts for production workloads - Experience with hybrid or multi-cloud environments - Familiarity with security best practices in containerized and cloud environments - Experience supporting both Linux and Windows workloads in Kubernetes This position is not eligible for visa sponsorship by the Company. #LI-NN1 MAKE A DIFFERENCE AT QORVO We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets – we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us. We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.

• Designing and developing robust, scalable, and efficient software that powers our client’s cloud-based AI platform framework. • Working closely with cross-functional teams to deliver a highly available and secure platform. • Continuously improving the platform in terms of functionality, performance, and reliability. • Evaluating new technologies that help optimize the system.

• Establish a robust, machine-readable context foundation that enables AI agents to navigate our systems, ownership, and infrastructure • Ensure software can be released continuously and safely especially when built with Agents • Create standardized golden paths for both human and agentic development • Use KPIs like System Availability and Change Lead Time to prioritize your work • Design, build, and maintain resilient, scalable cloud infrastructure

• Design and develop a scalable, self-service performance testing framework (using tools like k6 or Locust). • Write production-grade code (Go/Python) to abstract away infrastructure complexity. • Embed performance gates directly into our deployment pipelines (GitHub Actions/GitLab CI). • Partner with Principal Engineers to analyze "third-order" effects in our distributed systems. • Create documentation, reference implementations, and "Golden Paths" that teach our engineering organization how to fish.