DevOps/ Kubernetes Engineer

at  Leidos

Description
The Leidos Spatial Solutions Division has an opening for an experienced DevOps Engineer to assist with the development, integration, deployment, and sustainment of mission critical systems.

BASIC QUALIFICATIONS:

• Must be a U.S. Citizen
• Active TS/SCI Security Clearance
• Typically requires a BS in Information Systems, Information Technology, Computer Science or closely related discipline and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience.
• Proactive self-starter demonstrating a positive, willing attitude and excellent oral and written communication skills.
• 2-3 years of recent experience with Kubernetes infrastructure. Preferably with OpenShift or EKS
• 2-3 years of recent experience in Docker containers
• Proficiency with Microsoft PowerShell, Python, or similar scripting languages.
• Demonstrated experience administrating both Microsoft Windows and Linux operating systems.
• Understanding of custom code development/reviews
• Experience with GITLAB functionality, error codes and scripting
• Experience using AWS services/technologies (e.g. CloudFormation, S3, ECS)
• Experience with AWS Serverless architectures (lambda, API gateway, load balancing, autoscaling)
• Experience supporting development testing
• Experience with cloud-based architectures
• Understanding of DevSecOps methodologies and workflow
• Experience developing and managing CI/CD pipelines
• Knowledge of SW Development and SW Sustainment Practices
• Team Collaboration tools (Jira, Confluence, RocketChat)
• Must have a CompTIA Security+ CE or equivalent DoD 8570 IAT Level II certification
• Must be a U.S. Citizen
• Typically requires a BS in Information Systems, Information Technology, Computer Science or closely related discipline and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience.

PREFERRED QUALIFICATIONS:

• Experience with GitLab CI/CD
• Experience with AWS Lambda and AWS ECS
• Experience with troubleshooting, configuring, and deploying docker containers
• AWS certification (e.g. DevOps Engineer, Solutions Architect)
• Linux certifications
• Experience with ArcGIS or geospatial technologies

• The responsibilities of this role are to automate manual processes currently being handled manually as well as maintain and operate new processes as developed by the Cloud Automation Advancements Team (CAAT).
• Develop Windows or Linux automation with the use of Python and/or Microsoft PowerShell, as appropriate
• Support the deployment of microservices via a DevSecOps pipeline within a Windows and Linux-based multi-tenant environment.
• Develop, update, and maintain GitLab CI/CD pipeline code
• Configure, troubleshoot, and deploy docker containers
• Review code within Git and extract/create engineering documentation as needed
• Support Developer deployments
• Provide technical guidance for all capabilities/microservices
• Support Developer testing in the environment
• Create and Maintain DevOps documentation
• Conduct Security remediation as needed from scans