4257 Associate Cloud Engineer Education jobs in Atlanta,GA

Cloud Operations Engineer/Azure

Children's Healthcare of Atlanta

Atlanta, GA 30329

Aquent Talent

Atlanta, GA

Exceptional written and verbal communication skills, capable of conveying complex ideas clearly and persuasively.
7+ years of experience in early, generative design research that informs long-term business strategy, ideally within the digital products and services industry.
Ability to travel internationally for in-context, in-person research (e.g., home, workplace, office) as needed.
Extensive experience in qualitative design research and creative research methodologies.
Working knowledge of quantitative and qualitative research methods, with deep expertise in ethnographic, semiotic, co-design, and design research methods.
Bachelor's degree in HCI, Design Research, or Social Sciences.
Strong design or visual skills for creating inspiring and novel presentations and storytelling.
Proven ability to translate and creatively activate insights through design principles, strategic frameworks, scenarios, design provocations, and immersive workshops.
A portfolio demonstrating how your research has informed strategic decision-making, with a focus on innovation initiatives.

Floor & Decor

Atlanta, GA 30301

Corporate Positions

Atlanta, GA 30301

Arrow Electronics

Duluth, GA 30097

Capgemini

Atlanta, GA 30301

Cargill

Atlanta, GA 30303

Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence / Machine Learning, or a related field.
Familiarity with AI platform components such as model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways
Experience securing containerized and distributed systems, including Kubernetes and service meshes.
6+ years of experience in cybersecurity engineering, with demonstrated ownership of complex, enterprise-scale systems.
Strong understanding of cloud security concepts across AWS, Azure, and/or GCP, including IAM, networking, encryption, logging, and monitoring.
Hands-on experience with Python and security automation for scalable enforcement of AI security controls.
Proven experience addressing the unique security challenges of Large Language Models (LLMs), Generative AI, or Agentic AI systems, including model misuse, prompt injection, hallucination risk, and data governance.