Job Description
Job Summary:
Westat is seeking an experienced AWS Cloud Engineer with AI exposure to bridge traditional cloud engineering and modern AI operations and to provide expertise for a federal contract consisting of a large eco-system of highly integrated applications.
This position is to work onsite at our office in Bethesda, Maryland office 2 day per week and 3 days per week from your home office.
Job Responsibilities
- Design, build, and standardize the AWS implementation for a large eco-system of applications for federal contract (CTSU) that is looking to re-imagine their applications on AWS.
- Generative AI/RAG pipeline support by collaborating with AI teams to integrate models, build scalable vector databases using AWS services such as Amazon Bedrock and OpenSearch.
Basic Qualifications
- A bachelor's degree in a computer science or related field.
- 3 – 5 years’ experience with a combination of AWS related roles such as working as an AWS Developer and AWS Architect.
Preferred Qualifications
- AWS certifications, such as AWS Developer and AWS Architect
- Similar experience with migrating on-premises applications to AWS
- Familiarity with Agile/Scrum methodologies and working in cross-functional product teams.
Other Required Qualifications
- Experience with building applications within AWS using a hybrid approach of new and legacy components (e.g. new front-end/services with legacy database or other mix-and-match approaches) to best fit budget/scope/timeline constraints.
- Capable of establishing infrastructure using scripts, adhering to best practices, and incorporating AWS suggested templates for compliance with standards like NIST 800-53 and HIPAA.
- Be proficient in setting up a functional model for seamless script promotion (CI/CD pipeline) from development to test, UAT, and production.
- Experience migrating/converting data from legacy applications to a new target application environment.
- Experience using discovery tools to define and develop customer requirements and pricing models.
- Designed stacks using Amazon CloudFormation templates to launch AWS infrastructure and resources.
- Proficiency in Python, LangChain and terraform scripting for automation tasks
- Proficiency in Docker and Kubernetes for managing scalable services and endpoints
- Solid understanding of data modelling fundamentals.
