DevOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior DevOps Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Kubernetes, Terraform, AWS, CI/CD, and coding in Golang/Python, with a focus on media and ML pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Washington DC-Baltimore Area
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🧠 - Skills detailed
#Kubernetes #Monitoring #Python #Deployment #Terraform #Leadership #DevOps #Infrastructure as Code (IaC) #Automation #AWS (Amazon Web Services) #ML (Machine Learning) #Golang
Role description
Senior DevOps Engineer – Media & ML Pipelines
We are looking for a Senior DevOps Engineer to lead automation and infrastructure for our media analysis framework and ML pipelines (video, audio, images, captions, PDFs).
Responsibilities:
• Lead DevOps for ML-driven media pipelines (live & linear).
• Design, build, and automate containerized deployments on Kubernetes & AWS.
• Implement IaC with Terraform, CI/CD, monitoring, and scaling.
• Drive system reliability, performance, and automation improvements.
• Collaborate with ML and engineering teams to support production workloads.
Requirements:
• Strong expertise in Kubernetes, Terraform, AWS, and CI/CD.
• Solid coding skills in Golang / Python.
• Experience with containerized systems and automation at scale.
• Leadership in driving DevOps best practices.
Senior DevOps Engineer – Media & ML Pipelines
We are looking for a Senior DevOps Engineer to lead automation and infrastructure for our media analysis framework and ML pipelines (video, audio, images, captions, PDFs).
Responsibilities:
• Lead DevOps for ML-driven media pipelines (live & linear).
• Design, build, and automate containerized deployments on Kubernetes & AWS.
• Implement IaC with Terraform, CI/CD, monitoring, and scaling.
• Drive system reliability, performance, and automation improvements.
• Collaborate with ML and engineering teams to support production workloads.
Requirements:
• Strong expertise in Kubernetes, Terraform, AWS, and CI/CD.
• Solid coding skills in Golang / Python.
• Experience with containerized systems and automation at scale.
• Leadership in driving DevOps best practices.
