Amazon
Senior Delivery Consultant - Cloud Application Architecture, AWS Professional Services, WWPS US Education and State & Local Government
$154K–$239K
Austin, TX +9 · Senior · Full-time · Posted May 13, 2026
- Location
- Austin, TX
Bellevue, WA
Atlanta, GA
New York, NY
Denver, CO
Herndon, VA
Chicago, IL
Mountain View, CA
San Francisco, CA
Dallas, TX - Experience
- As specified in the requirements: 7+ years, 5+ years, 4+ years, and 3+ years, with the areas listed above.
- Education
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
About the job
Designs, implements, and advises on complex AWS cloud solutions for customers, including architecture, migration, and delivery.
What you'll do
- Design and implement scalable, secure AWS solutions tailored to customer needs.
- Gather requirements, propose migration strategies, and provide technical guidance and troubleshooting during project delivery.
- Advise customers on technology trends and share knowledge through mentoring, training, and reusable artifacts.
What they ask for
- 7+ years of technical specialist, design and architecture experience; 7+ years of consulting, design and implementation of serverless distributed solutions experience.
- 5+ years of database experience and 5+ years of software development with an object-oriented language.
- 3+ years of cloud-based solution, system, network and operating system experience; 4+ years of cloud architecture and solution implementation experience.
- 5+ years of hands-on enterprise-scale cloud architecture and delivery, microservices and distributed systems, and experience with one or more of Java, Python, Node.js, or .NET; 3+ years consulting with enterprise customers.
Nice to have
- Associate's degree or above, or AWS Professional level certification.
- Experience with AI/ML technologies.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)
Tools
AWS, SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, Java
AI focus
AI/ML is mentioned as preferred experience; no specific AI work is described.
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