Lead DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead DevOps Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Red Hat OpenShift, GitOps, Kubernetes, and Ansible. A Bachelor's degree in Computer Science is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Richmond, VA
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🧠 - Skills detailed
#DevOps #Ansible #Computer Science #Deployment #Security #Automation #Kubernetes #GitLab #Agile #AI (Artificial Intelligence) #Scala
Role description
We are seeking a highly skilled Lead DevOps Engineer to join our team. This role offers the opportunity to work in a dynamic environment where you will play a critical part in enhancing our deployment processes and collaborating with cross-functional teams. Responsibilities β€’ Enhance and maintain existing build and deployment processes across various products. β€’ Collaborate with application developers, QA engineers, and product owners to establish engineering and deployment best practices. β€’ Implement and uphold security measures in line with organizational policies. β€’ Design and deploy application components and infrastructure. β€’ Support and troubleshoot issues in production environments. β€’ Participate in engineering design and deployment planning sessions. β€’ Coach developers on techniques for building scalable applications. Skills β€’ Extensive experience with Red Hat OpenShift Container Platform and deployment using Helm Charts. β€’ Proficient in GitOps practices and tools such as ArgoCD and Flux. β€’ Strong background in Agile methodologies and source control technologies like GitLab. β€’ Knowledgeable in Ansible Automation and general automation technologies. β€’ Experience with Kubernetes and container technologies, including image building. β€’ Bachelor’s degree in Computer Science or a related technical field. β€’ Advanced understanding of networking, security, and automated deployments. Preferred Skills β€’ Experience in a collaborative team environment. β€’ Strong problem-solving abilities and a proactive approach to challenges. β€’ Familiarity with continuous integration environments. β€’ Excellent communication skills, both verbal and written. β€’ Ability to work across multiple platforms and understand dependencies. We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives. Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.