About the position
As Sr. Software Engineer I, you’ll bring creative architect solutions to end customers, with the goal to make an impact across the federal government. We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
Responsibilities
- Work with AI team members to operationalize data pipelines and ML tasks
- Provide day-to-day support of deploying Python-native ML pipelines
- Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements
- 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 TS/SCI CI Poly clearance
- At least 3 years of specific experience with full stack engineering, 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 automation and engineering tasks, testing, implementation, data, AI/ML, infrastructure/operations, and security engineer tasks in cloud environments
Benefits
- 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
