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À propos
Responsibilities
he Kubernetes Cloud DevOps Engineer is responsible for designing, deploying, and sustaining scalable, secure, and highly available cloud-native environments supporting mission-critical operations. This role operates with a high degree of autonomy, applying deep technical expertise to solve complex infrastructure and platform challenges while driving continuous improvement across cloud and DevOps ecosystems.
The engineer serves as a technical leader and mentor, ensuring platform reliability, automation maturity, and operational excellence across distributed teams and environments.
Cloud & Platform Engineering
Design, deploy, manage, and optimize Kubernetes-based cloud environments (e.g., AWS, Azure, or hybrid DoD architectures)
Administer container orchestration platforms ensuring high availability, scalability, and resilience
Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or CloudFormation
DevOps & Automation
Build and maintain CI/CD pipelines to support rapid, secure, and repeatable deployments
Automate provisioning, configuration management, and application delivery workflows
Drive DevSecOps best practices, integrating security into all phases of the pipeline
Operations & Reliability
Monitor system performance, availability, and security posture using modern observability tools
Rapidly troubleshoot and resolve complex cloud and Kubernetes issues across multiple environments
Lead root cause analysis and implement corrective actions to prevent recurrence
Innovation & Continuous Improvement
Develop and implement innovative solutions to complex technical challenges
Continuously evaluate emerging technologies and recommend improvements to platform architecture
Enhance system performance, cost efficiency, and operational scalability
Leadership & Mentorship
Provide technical guidance and mentorship to junior engineers and cross-functional teams
Operate independently with minimal oversight while aligning to program and mission objectives
Support team development, knowledge sharing, and DevOps maturity advancement
Qualifications
High School with 10+ years (or commensurate experience)
Required Skills and Experience
Clearance Required: TS/SCI
DoD 8570 IAT Level II Certification
Linux Essentials LPI
Certified Kubernetes Administrator
Azure Administrator
Hands-on experience with Kubernetes (cluster deployment, operations, and troubleshooting)
Experience with at least one major cloud provider (AWS, Azure, or GCP)
Strong experience with Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation, etc.)
Experience building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions)
Proficiency with container technologies (Docker, container registries)
Experience with monitoring/logging tools (e.g., Prometheus, Grafana, ELK, Cloud-native tools)
Strong scripting skills (e.g., Python, Bash, PowerShell)
Ability to communicate technical ideas and deliver briefings with cross-functional teams work in a high-demand environment and provide technical expertise on all phases of system
Preferred Skills and Ex
Cisco Certified Network Professional
Certified Kubernetes Application Developer
AWS Solutions Architect
Experience with developing tactical, expeditionary cross-domain solutions to deliver FMV across different environments, enclaves, and networks
Experience with designing, installing, configuring, and troubleshooting expeditionary, global, regional, and disconnected networks, including internal LAN traffic, WAN, Satellite communications, commercial leased lines, long haul circuits, distributed packet processing, data compression, encryption, and various data transport systems
Experience with evaluating projected network usage and reviewing utilization reports
Experience with Agile development methodologies and working with Agile teams using collaboration tools such as Gitlab.
Knowledge of network engineering in cloud and disconnected edge environments
Experience supporting DoD or Federal cloud environments (e.g., IL2-IL6, GovCloud, Azure Government)
Familiarity with DevSecOps, STIG compliance, and RMF frameworks
Experience with service mesh technologies (e.g., Istio, Linkerd)
#NSS
#DL
Posted Salary Range
USD $160,000.00 - USD $175,000.00 /Yr.
Compétences linguistiques
- English
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