Sr. Software Engineer I (6521)

MetroStar is a company dedicated to building exceptional teams and providing outstanding technology services. As a Sr. Software Engineer I, you will work with AI team members to operationalize data pipelines and provide technical support, while ensuring that security requirements are met for identity management systems.

Responsibilities:

• 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

Requirements:

• 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