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

A minimum of 4 years of experience in the Information Technology field, focusing on development projects using DevSecOps and AWS cloud environments
A bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree; or equivalent experience in lieu of degree
Active Secret or T1 background investigation
At least 3 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 3 years of experience deploying production enterprise applications in AWS
Experience designing, developing, and deploying applications leveraging AWS cloud services in IL6+ classified environments
Experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
Experience with automation and engineering tasks, implementation, data, infrastructure/operations, and security engineer tasks in cloud environments
The ability to perform, but not limited to, automation and engineering tasks, testing, implementation, data, AI/ML, infrastructure/operations, and security engineer tasks in cloud environments

Senior Software Engineer I

Key skills