Senior Delivery Consultant - Cloud Application Architecture , AWS Professional Services, CAA

Senior Delivery Consultant - Cloud Application Architecture, AWS Professional Services, CAA

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Description
The Amazon Web Services Professional Services (Pro Serve) 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, you will architect complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. You will lead the implementation process, ensure adherence to best practices, optimize performance, and manage risks throughout the project. The AWS Pro Serve organization is a global team that helps customers realize their desired business outcomes when using the AWS Cloud, working with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives.

We deliver focused guidance through global specialty practices across various solutions, technologies, and industries. It is expected to work from one of the listed locations (or customer sites) at least 1+ day per week. This is not a remote position; you are expected to be in the office or at customer sites as needed.

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Collaborating with stakeholders to gather requirements and propose effective migration strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Diverse Experiences: AWS values diverse experiences. If you do not meet all of the preferred qualifications and skills listed, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate. Our customers range from startups to Global 500 companies.

Inclusive Team Culture, Mentorship & Career Growth, and Work/Life Balance are core aspects of our culture. We support ongoing learning, mentorship, and resources to help you develop professionally, with a focus on inclusion and flexibility.

• 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, related field, or equivalent experience
• 5+ years of experience with microservices and distributed systems implementation on cloud and one or more programming languages (Java, Python, Node.js, .NET)
• 4+ years of experience designing scalable, resilient cloud applications, containerization and orchestration (Docker, Kubernetes)

• AWS experience with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, Cloud Formation)
• AWS Professional certifications (e.g., Solutions Architect Professional, Dev Ops Engineer Professional) preferred
• Automation and scripting experience (e.g., Terraform, Python); knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills for explaining technical concepts to diverse audiences
• Experience with additional AWS services (ECS, EKS, Lambda, API Gateway, Dynamo
  
  DB, Sage Maker, Bedrock, Q Developer)
• Experience integrating AWS AI/ML services (Sage Maker, Bedrock, Amazon Q) and understanding of…