DevOps Engineer
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Requirements
• Active TS/SCI security clearance • Bachelor's degree in Computer Science, Data Science, Engineering or related field • Experience in data engineering or DevOps with a focus on large-scale enterprise-level data systems and Kubernetes • Proficient in cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform, and Kubernetes • Proficient in IaC (Infrastructure as Code) Terraform, CDK, Kubernetes, etc • Demonstrated expertise in designing and building Kubernetes infrastructure to support application migration • Strong understanding of data protection and security best practices in Kubernetes environments • Excellent problem-solving skills and ability to work independently and as part of a team • Cloud Cert and or Sec+ Cert (Will re-imburse to acquire upon hiring) • Working at Edgesource: • As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation. • At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include: • Flexible PTO Policy + 11 Paid Holidays - • Flexible Work Schedules (Remote / Hybrid) - • Medical / Dental / Vision / Flexible Spending Account (FSA) - • 401k Plan with Match - • Tuition & Professional Development Support -
Responsibilities
• Design, develop, and maintain Kubernetes infrastructure to support the migration of traditionally deployed applications to a containerized environment • Collaborate with development teams to assess application architecture and identify necessary modifications for smooth migration to Kubernetes • Develop and implement strategies for migrating applications to Kubernetes, ensuring minimal downtime and seamless integration • Ensure the integration of data from multiple sources, including internal and external systems, APIs, and third-party tools within the Kubernetes environment • Develop and implement data protection strategies, including data encryption, access controls, and disaster recovery plans for applications deployed on Kubernetes • Manage and execute application migration projects, ensuring data integrity and accuracy during the migration process • Collaborate with cross-functional teams to define and execute Kubernetes-related projects and initiatives • Develop and maintain documentation related to application architecture, data flows, and Kubernetes infrastructure • Implement best practices for application management, including data modeling, data quality assurance, and Kubernetes-based solutions • Stay up-to-date with industry trends and emerging technologies related to data engineering and Kubernetes
Benefits
• Equity options mentioned: "equity." • Paid time off (PTO) is specified as part of the benefits package. • Insurance coverage provided to employees. • Perks offered, including remote work opportunities and a flexible hybrid schedule option with duties performed onsite in Chantilly, VA area.