Sr. DevOps Engineer (29266)

Support development and deployment of non-cloud (Edge) infrastructure of on-premise and portable equipment

Automate deployment processes and ensure reliability and scalability of services

Manage and maintain Kubernetes containers and 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 - Current TS/SCI with CI Polygraph level U.S. Government security clearance is required; U.S. Citizenship required.

5+ years of experience in DevOps Engineering or Software Development 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 Terraform, and Ansible.

Knowledge of AWS services (EC2, EBS, 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 Python, Bash, or Go.

Familiarity with Git, Flux, and other development tools.

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 certifications (i.e. Security+) or the ability to obtain before starting with the company.

Must be able to work on customer site in Augusta, GA 5 days a week (full-time, 40 hours/week on customer site). Flexibility is essential to adapt to schedule changes as needed.

Preferred Requirements

Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.

Experience with containers EKS, Diode, CI/CD, and Terraform are a plus

Prior experience or familiarity with Big Data Platforms or Data Lake architectures.