FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

DevOps Engineer – TS/SCI
Xcelerate Solutions. Design, deploy, and maintain a full-stack containerized microservices architecture .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining full-stack containerized microservices architectures, with a strong focus on Kubernetes, CI/CD processes, and security compliance. Proven ability to collaborate across teams and contribute to scalable infrastructure solutions in hybrid environments.
Highest-signal resume keywords
KubernetesCI/CD DevelopmentDevOps CultureTop Secret/SCI Security ClearanceDoD 8570.01-M IAT Level II Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Microservices ArchitectureBig-Data Pipeline DeploymentSystems AdministrationContainer OrchestrationHelm Chart DesignLinux OS KnowledgeTroubleshooting Ingress/Gateway APIElasticsearchPythonJava
Soft Skills
CollaborationCross-Functional PlanningTask Execution
Tools & Technologies
GitLabArgoCDKibanaLogstashSALTPowerShellBashKafkaECKFAPolicyd
Certifications & Qualifications
Top Secret/SCI Security ClearanceDoD 8570.01-M IAT Level II CertificationCCNA SecurityCySA+Security+ CESSCPCISSPCISSP Associate
Industry Keywords
Agile ProcessesProduction SystemsMulti-Tenant GPU SharingHybrid DeploymentsCompliance Solutions
Tech Stack
Tools & technologiesElasticSearchGroovyJavaKafkaKubernetesLinuxLogstashMicroservicesPythonSaltStackTypeScript
About the role
Key responsibilities & impact- Design, deploy, and maintain a full-stack containerized microservices architecture
- Perform technical systems administration, installation, and configuration
- Foster a DevOps culture and collaborate with systems engineering, architecture, development, security, operations, and integration teams
- Deploy, triage, and maintain a production big-data pipeline using Kubernetes, Elasticsearch, and Kafka
- Enhance and maintain CI/CD and DevOps scripts and processes, including AI-integrated failure analysis, security, and compliance solutions
- Design, develop, and support scalable, redundant infrastructure across physical and virtualized environments
- Configure Kubernetes continuous deployments using Helm, YAML, and ArgoCD
- Collaborate with System Engineers on solutions for new features and requirements
- Provide technical input to systems engineering documentation and diagrams/models with systems engineering and architecture teams
- Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings
- Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing in Kubernetes environments
Requirements
What you’ll need- BS in Engineering, Computer Science, Systems Engineering, or related field, or equivalent experience with 8+ years in software development, systems engineering, or related field
- 6+ years of experience with a Master’s degree
- Active Top Secret/SCI security clearance, with ability to obtain and maintain TS/SCI with Polygraph clearance
- At least one DoD 8570.01-M IAT Level II or higher certification, such as CCNA Security, CySA+, Security+ CE, SSCP, CISSP, or CISSP Associate
- Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy
- Experience with containers and container orchestration, specifically Kubernetes
- Troubleshooting experience with Ingress/Gateway API, multi-tenant GPU sharing, Helm chart design/build, pod disruption budgets, and affinity/anti-affinity rules
- Familiarity with external-secrets, ArgoCD, cert-manager, and ECK (Elasticsearch)
- GitLab pipeline development experience, including CI/CD components, Code Quality reports, and Code Coverage/Test reports
- Knowledge of Linux OS and sysctls for Kubernetes environments
- FAPolicyd and SELinux experience
- Comfortable with Elasticsearch, Logstash, and Kibana
- Demonstrated ability to participate in cross-functional planning, coordination, and task execution
- Preferred: experience with systems at scale, Agile processes and techniques, Bash, PowerShell, SALT, Python, Groovy, Java, production/enterprise systems, Kafka or other message-passing systems, Kubernetes monitoring, GPU-based Kubernetes, SALT deployment automation, Helm/Helmfile, and Nexus
Benefits
Comp & perks- Growth and development opportunities
- Reasonable accommodations for applicants or employees with disabilities
- Equal Employment Opportunity/Affirmative Action commitment