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Amazon Web Services (AWS)

Senior Delivery Consultant - Cloud Application Architecture , AWS Professional S

Amazon Web Services (AWS), Atlanta, Georgia, United States, 30383

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Senior Delivery Consultant - Cloud Application Architecture, AWS Professional Services, CAA The Amazon Web Services Professional Services (ProServe) team is searching for a skilled Delivery Consultant who will collaborate closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. The consultant will play a key role in delivering customer success throughout their cloud journey by providing technical expertise and best practices across the project lifecycle.

Key Responsibilities

Design and implement complex, scalable, and secure AWS solutions customized to customer needs.

Provide technical guidance and troubleshooting support throughout project delivery.

Collaborate with stakeholders to gather requirements and propose effective migration strategies.

Act as a trusted advisor to customers on industry trends and emerging technologies.

Share knowledge within the organization through mentorship, training, and the creation of reusable artifacts.

Basic Qualifications

5+ years of hands‑on experience architecting and delivering enterprise‑scale cloud solutions, with deep expertise in microservices and distributed systems.

3+ years of consulting experience working with enterprise customers.

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Experience with microservices and distributed systems implementation on cloud and one or more programming languages (Java, Python, Node.js, .NET).

Experience designing scalable, resilient cloud applications, containerization, and orchestration (Docker, Kubernetes).

Preferred Qualifications

AWS experience with a wide range of services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).

AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional).

Experience with automation and scripting (e.g., Terraform, Python).

Knowledge of security and compliance standards (e.g., HIPAA, GDPR).

Strong communication skills with the ability to explain technical concepts to both technical and non‑technical audiences.

Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q) and responsible AI practices.

About The Team AWS values diverse experiences and encourages candidates who may not meet all qualifications to apply. We are a global team of experts dedicated to helping customers realise their desired business outcomes on AWS. Our inclusive culture promotes learning, curiosity, and continuous growth, empowering employees to deliver the best results for our customers.

Equal Opportunity Employer Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We welcome and encourage applicants from all backgrounds. If you have a disability and need accommodation during the application or hiring process, please visit

https://amazon.jobs/content/en/how-we-hire/accommodations

for more information.

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