Delivery Consultant - DevOps, WWPS ProServe - Amazon Web Services

DESCRIPTION

• Designing, developing, and implementing complex, scalable, and secure solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Integrate multiple third-party software products into a unified platform stack
• Act as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

BASIC QUALIFICATIONS

• 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
• Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments
• 3+ years of cloud architecture and solution implementation experience
• Experience with continuous integration and continuous delivery
• Current, active US Government Security Clearance of TS/SCI with Polygraph

PREFERRED QUALIFICATIONS

• Experience architecting and operating Kubernetes platforms on bare metal at scale, including lifecycle management, cluster provisioning, and day-2 operations (patching, upgrades, failure recovery) in air-gapped or high-security environments. Experience with SpectroCloud PaletteAI or similar bare-metal Kubernetes lifecycle management platforms is strongly preferred.
• Hands-on experience with NVIDIA AI Enterprise, Run:AI, or equivalent GPU orchestration and scheduling platforms for large-scale AI/ML workloads, including multi-tenant resource management, gang scheduling for distributed training, and GPU fleet health monitoring.
• Demonstrated experience integrating multiple third-party software products into a unified platform stack, including managing cross-vendor compatibility, version dependencies, and developing cohesive operational procedures across components from OS through application layer.
• Familiarity with high-performance networking in GPU cluster environments and network automation for multi-tenant isolation, including zero-trust network architectures and micro-segmentation approaches for securing multi-tenant AI infrastructure.
• Experience developing and executing incremental deployment strategies for complex platforms, including automated provisioning, infrastructure-as-code, and validation testing at progressively larger scale in environments where no prior playbook exists.