Job description

Are you a multitalented software engineer who is at home in the Cloud? Expedition Technology, (EXP), in Herndon, VA is seeking an experienced Cloud Development Software Engineer to join our collaborative team. We support the Department of Defense and Intelligence Communities by developing ground-breaking applications that combine signal processing and image processing with artificial intelligence/machine learning capabilities. If you join us, you’ll combine Cloud engineering and software engineering skills to work with a team tasked to design, develop and deploy cloud-native applications using Amazon Web Services (AWS). You will focus on building scalable, resilient and containerized applications within the AWS ecosystem that support high-side and low-side development. Does this sound like a challenge you’d like to explore? Here’s what you’ll need to know for the role. Responsibilities: • Manage cleared Cloud deployments using C2S • Work with a team to manage existing AWS infrastructure in GovCloud • Utilize your DevOps skills to maintain and support software engineering efforts • Employ your software engineering skills to design and develop CloudFormation templates for reusability, and use Lambda or ECS Fargate code for logic implementation • Reach across cleared and uncleared environments to develop compatible infrastructure Required Attributes: • United States Citizenship – this position requires an active US government issued Top Secret/SCI security clearance for which you must be a US Citizen to obtain • An active Top Secret/SCI security clearance • At least 8 years of backend-focused software engineering experience • Experience with Cloud deployments in a cleared environment • Experience with DevOps best practices • Containerization experience • Prior support of CI/CD development • Experience with developing CloudFormation templates • Extensive experience with Amazon Web Services (AWS) Very nice to have: • Backend software engineering expertise to understand developers’ needs and the ability to write code to facilitate complicated infrastructure tasks • Kubernetes experience Clearance Required: Top Secret/SCI Compensation Salary Ranges by Career Level: Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900 We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels , and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled , and other job-related considerations.

Requirements

Must-haves

Are you a multitalented software engineer who is at home in the Cloud?
Does this sound like a challenge you’d like to explore? Here’s what you’ll need to know for the role.
Manage cleared Cloud deployments using C2S
Work with a team to manage existing AWS infrastructure in GovCloud
Utilize your DevOps skills to maintain and support software engineering efforts
Employ your software engineering skills to design and develop CloudFormation templates for reusability, and use Lambda or ECS Fargate code for logic implementation
Reach across cleared and uncleared environments to develop compatible infrastructure
United States Citizenship – this position requires an active US government issued Top Secret/SCI security clearance for which you must be a US Citizen to obtain
An active Top Secret/SCI security clearance
At least 8 years of backend-focused software engineering experience
Experience with Cloud deployments in a cleared environment
Experience with DevOps best practices
Containerization experience
Prior support of CI/CD development
Experience with developing CloudFormation templates
Extensive experience with Amazon Web Services (AWS)
Backend software engineering expertise to understand developers’ needs and the ability to write code to facilitate complicated infrastructure tasks
Kubernetes experience
Clearance Required: Top Secret/SCI
Early-career: $95,600 - $147,200
Mid-career: $130,300 - $209,900
Late-career: $154,600 - $242,900

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningawsci/cdkubernetes

Platform: gem
Effort: medium