Note: The job is a remote job and is open to candidates in USA. MetroStar is a company dedicated to building exceptional teams and delivering outstanding technology services. As a Sr. Software Engineer II, you will be responsible for architecting solutions and providing technical support, particularly in AI and security architecture for federal government clients.

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

Skills

• A bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree; or equivalent experience in lieu of degree
• Eligible to obtain an Active Secret clearance/T1 background investigation
• A minimum of 7 years of experience in the Information Technology field, focusing on development projects using DevSecOps and AWS cloud environments
• At least 6 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 6 years of experience deploying production enterprise applications in AWS
• 3+ years of experience with multiple of the following: Go, Python, Java, JavaScript, React, AngularJS, TypeScript, NextJS
• Strong, repeat experience designing, developing, and deploying applications leveraging AWS cloud services in IL6+ classified environments
• Proven experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
• Strong 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

Benefits

• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (PTO) and holidays
• Parental Leave and dependent care
• Flexible work arrangements
• Professional development opportunities
• Employee assistance and wellness programs

Company Overview