[2026 IBM Consulting Associates] AI DevOps Specialist - Infrastructure

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. In this role you will join IBM Consulting via our world class Associate Program for university hires. As an Associate at IBM Consulting you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals, who believe no problem is too big to solve. We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you. As an Infrastructure Specialist: AWS DevOps, you will design and deploy containerized applications on AWS, leveraging expertise in AWS Component services for Compute, Storage, Networking, and Monitoring. Your primary responsibilities will include: • AWS component 서비스에 대한 이해를 바탕으로 컨테이너화된 application을 디자인하고 적용합니다. • Cloud기반의 아키텍처링 환경을 이해하고 DevOps toolchain을 활용하여 AWS infrastructure까지 연결짓는 일을 합니다. • Hybrid Cloud환경에서 HA/DR환경을 설정하고, Kubernetes cluster를 관리합니다. • CI/CD pipeline까지 이어지는 integration작업을 위해SLA를 모니터링하고 서비스 건정성을 확인합니다. • AWS Administration에 대한 기본적인 이해 (관련 certificate 소지자 우대) • Kubernetes, Docker, CRIO 등 application lifecycle/클러스터를 이해하거나 활용할 수 있는 능력 • 시스템 구축 프로젝트와 개발 업무에 대한 관심 • 논리적 사고, 문제 해결 능력 및 협업 역량 • 공인 영어 시험 성적 보유자 (점수 제한 없음, 이력서 내 기재 필수) • Predictive Modeling Techniques: Exposure to predictive modeling techniques, such as regression, decision trees, and clustering, to enhance advanced analytics capabilities.• Data Visualization Tools: Experience working with data visualization tools to effectively communicate insights and findings to stakeholders. • Machine Learning Algorithms: Exposure to machine learning algorithms, such as neural networks and random forests, to expand analytical capabilities.