Delivery Consultant - DevOps, WWPS ProServe

About the role

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

Responsibilities

• 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

Requirements

• 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
• Hands-on experience with NVIDIA AI Enterprise, Run:AI, or equivalent GPU orchestration and scheduling platforms for large-scale AI/ML workloads
• Demonstrated experience integrating multiple third-party software products into a unified platform stack
• Familiarity with high-performance networking in GPU cluster environments and network automation for multi-tenant isolation
• Experience developing and executing incremental deployment strategies for complex platforms

Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Pay

The base salary range for this position is $131,300.00 - $177,600.00 USD annually, depending on location. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.