Sr AI Engineer, Platform
Role Overview
An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team.
Help build, operate, and maintain the platforms that power Micron's analytics and AI workloads.
Contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners.
Key Skills for This Role
Full Job Posting
Platform Engineer
An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team.
Help build, operate, and maintain the platforms that power Micron's analytics and AI workloads.
Contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners.
Responsibilities
- Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions.
- Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities.
- Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform).
- Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams.
- Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments.
- Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability.
- Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions.
- Implement and maintain security controls, including RBAC and industry-standard frameworks, to protect intellectual property and sensitive data.
Minimum Qualifications
- Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field, with 2-4 years of Platform Administration and/or Cloud Engineering experience.
- Hands-on experience with Apache Kafka and Kubernetes, including administration, deployment, scaling, monitoring, and resolving challenges in production environments.
- Experience administering public cloud platforms and implementing Infrastructure as Code (IaC) using Terraform.
- Familiarity with Machine Learning, Data Science, Generative AI, and Agentic AI concepts, including supporting AI/ML platform workloads.
- Strong collaboration, communication, documentation, and problem-solving skills, with a continuous learning approach and the ability to independently deliver technical projects.
Preferred Qualifications
- Strong foundation or administration of Unix.
Benefits
- Choice of medical, dental and vision plans in all locations.
- Benefit programs that help protect income if unable to work due to illness or injury, and paid family leave.
- Robust paid time-off program and paid holidays.
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