You'll work with AI team members to operationalize data pipelines and ML tasks
You'll provide day-to-day support of deploying Python-native ML pipelines
You'll support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements
You’ll support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas

Must have an active Secret clearance, and/or T1 background investigation
A bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree; or equivalent experience in leu of degree
A minimum of 10 years of experience in the Information Technology field, focusing on development projects using DevSecOps and AWS cloud environments
At least 8 years of specific experience with full stack engineering (defined as proficient in database development/integration as well as server and client application development/integration), including at least 8 years of experience deploying production enterprise applications in AWS
Expert-level experience designing, developing, and deploying applications leveraging AWS cloud services in IL6+ classified environments
Expert experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
Expert experience leading automation, engineering, testing, and implementation tasks in cloud environments, including work across data, AI/ML, infrastructure/operations, and security.
You have 8+ years of experience with multiple of the following: Go, Python, Java, JavaScript, React, AngularJS, TypeScript, NextJS

Senior Software Engineer III

Key skills