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DevOps Engineer – TS/SCI
Xcelerate Solutions. Deploy, triage, and maintain a production big data pipeline using a microservices architecture running on Kubernetes, Elasticsearch, and Kafka .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and maintaining big data pipelines using microservices architecture, Kubernetes, and CI/CD processes. Proficient in collaborating across teams to design scalable infrastructure and enhance DevOps practices.
Highest-signal resume keywords
KubernetesCI/CD Pipeline OrchestrationElasticsearchDevOps CultureActive Top Secret/SCI Security Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentSystems EngineeringContainer OrchestrationBashPythonJavaKafkaHelmPrometheusGitLab
Soft Skills
Cross-Functional CollaborationAgile Processes
Tools & Technologies
KubernetesElasticsearchLogstashKibanaSALTGrafanaNexus
Certifications & Qualifications
Active Top Secret/SCI Security Clearance
Industry Keywords
Microservices ArchitectureBig Data PipelineProduction SystemsAgile Release PlanningSystems at Scale
Tech Stack
Tools & technologiesElasticSearchGrafanaGroovyJavaKafkaKubernetesLinuxLogstashMicroservicesPrometheusPythonSaltStackTypeScript
About the role
Key responsibilities & impact- Deploy, triage, and maintain a production big data pipeline using a microservices architecture running on Kubernetes, Elasticsearch, and Kafka
- Enhance, improve, and maintain CI/CD and DevOps scripts and processes
- Design, develop, and support scalable, redundant infrastructure across physical and virtualized environments
- Use Helm to configure Kubernetes deployments for new feature requirements
- Collaborate with Systems Engineers to design solutions for new features and requirements
- Provide technical input to systems engineering documentation and diagrams/models in coordination with Systems Engineering and Architecture teams
- Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings
- Contribute to the design, deployment, and maintenance of a full-stack containerized microservices architecture
- Perform technical systems administration, installation, and configuration
- Foster DevOps culture and cross-functional collaboration with engineering, architecture, development, security, operations, and integration teams
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 a related field
- 6+ years of experience with a Master’s degree
- Active Top Secret/SCI security clearance
- Ability to obtain and maintain a TS/SCI with Polygraph security clearance
- Knowledge of navigating Linux OS
- Experience with containers/container orchestration, specifically Kubernetes
- Skill with CI/CD pipeline orchestration and GitLab
- Comfort with Elasticsearch, Logstash, and Kibana
- Ability to participate in cross-functional planning, coordination, and task execution
- Preferred: experience with systems at scale
- Preferred: knowledge of Agile processes and techniques
- Preferred: experience with Bash, PowerShell, SALT, Python, Groovy, Java, or similar technologies
- Preferred: experience on production/enterprise systems
- Preferred: experience with Kafka or other message-passing systems
- Preferred: Kubernetes monitoring with Prometheus/Grafana
- Preferred: GPU-based Kubernetes
- Preferred: SALT for deployment automation
- Preferred: Helm and Helmfile
- Preferred: Nexus
Benefits
Comp & perks- Growth and development opportunities
- Reasonable accommodations for applicants or employees with disabilities
- Great Place to Work-certified company culture
- Equal employment opportunity and affirmative action protections