Job Requirements
Alexandria, VA
Top Secret Polygraph Unspecified
Career Level not specified
Salary not specified
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Job Description
Title: FS2: Software Engineer (Python / AWS)
Clearance: requires active Top Secret clearance for consideration and SCI prior to start
Location: Chantilly - Virginia; Gaithersburg - Maryland; Alexandria - Virginia; St. Louis - Missouri
Salary: mid ( 5-7 years): 130-160K; Sr (8 - 12 years)150-170k; Expert or SME (12+years):170-225K
Client Note: Stability in last 10 years should be at least 3 years per project. No Job Hoppers!
Client is hiring a mission-focused Cloud DevOps Engineer to build, integrate, and harden software supporting NGA's GEOINT mission.
Responsibilities:
In this role, you will develop, integrate, debug, and maintain software artifacts in Python in support of NGA's GEOINT mission. You will write validation tests against existing baselines to protect code integrity during Agile development, support unit testing and software quality efforts, and work across cloud and service-oriented environments including web services and related technologies. You will also use GitLab for version control, CI/CD pipelines, and resource management, package and run applications with Docker, and collaborate with engineering teams using Jira and Confluence.
Required Qualifications:
Bachelor's degree and 6+ years of relevant experience, or Master's degree and 4+ years of relevant experience, or 8 years of experience in lieu of a degree
Active Top Secret clearance with ability to obtain SCI
Strong Python development experience
Experience with software development or software integration in cloud, SOA, or web-services environments
Experience with GitLab, including CI/CD pipelines
Experience with Docker
Experience with web technologies and protocols such as web servers, HTTP, and SSL
Familiarity with AWS and cloud technologies
Strong written and verbal communication skills
Strong organizational skills and attention to detail
Ability to adapt quickly and learn new technologies
Preferred Qualifications:
Experience supporting NGA
Strong AWS/cloud experience
AWS or Python certification
Clearance: requires active Top Secret clearance for consideration and SCI prior to start
Location: Chantilly - Virginia; Gaithersburg - Maryland; Alexandria - Virginia; St. Louis - Missouri
Salary: mid ( 5-7 years): 130-160K; Sr (8 - 12 years)150-170k; Expert or SME (12+years):170-225K
Client Note: Stability in last 10 years should be at least 3 years per project. No Job Hoppers!
Client is hiring a mission-focused Cloud DevOps Engineer to build, integrate, and harden software supporting NGA's GEOINT mission.
Responsibilities:
In this role, you will develop, integrate, debug, and maintain software artifacts in Python in support of NGA's GEOINT mission. You will write validation tests against existing baselines to protect code integrity during Agile development, support unit testing and software quality efforts, and work across cloud and service-oriented environments including web services and related technologies. You will also use GitLab for version control, CI/CD pipelines, and resource management, package and run applications with Docker, and collaborate with engineering teams using Jira and Confluence.
Required Qualifications:
Bachelor's degree and 6+ years of relevant experience, or Master's degree and 4+ years of relevant experience, or 8 years of experience in lieu of a degree
Active Top Secret clearance with ability to obtain SCI
Strong Python development experience
Experience with software development or software integration in cloud, SOA, or web-services environments
Experience with GitLab, including CI/CD pipelines
Experience with Docker
Experience with web technologies and protocols such as web servers, HTTP, and SSL
Familiarity with AWS and cloud technologies
Strong written and verbal communication skills
Strong organizational skills and attention to detail
Ability to adapt quickly and learn new technologies
Preferred Qualifications:
Experience supporting NGA
Strong AWS/cloud experience
AWS or Python certification
group id: 10290999
