Support development and deployment of infrastructure in AWS
Automate deployment processes and ensure reliability and scalability of services
Manage and maintain cloud infrastructure on AWS
Collaborate with development teams to integrate their applications into the infrastructure
Monitor and troubleshoot production systems and resolve issues as necessary
Continuously improve processes and tools to ensure high availability and performance
Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure
Other Duties as assigned
Security Clearance - A current TS/SCI U.S. Government Security clearance and ability to obtain a polygraph is required; U.S. citizenship required. Can also consider candidates with a current Polygraph level clearance.
5+ years of experience in DevOps Engineering or Software Development (Java preferred) and Bachelors in related field; or 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
Strong knowledge of Linux, including system administration and troubleshooting
Proficient in configuration management tools such as Ansible or Puppet
Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure
Experience with application and OS deployment, scaling, and management
Ability to develop in multiple programming languages such as bash, Python, or Go
Familiarity with Git and other development tools such as deployment pipelines
Excellent problem-solving skills and the ability to identify and troubleshoot complex issues
Excellent oral and written communication skills.
Understanding of AGILE software development methodologies and use of standard software development tool suites
Must have a DoD 8140 / 8570 compliance certification (i.e. Security+ certification)
Must have a Computing Environment certification (AWS, Linux, Kubernetes, etc.)
Must be able to work on customer site in Ft. Belvoir, VA 5 days/week
Experience with big data technologies like Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
Experience with containers and Kubernetes are a plus