DevOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer with a 12+ month contract in Santa Clara, CA. Key skills include Kubernetes, Ansible, Python, and CI/CD pipeline experience. A minimum of 2 years in DevOps or related fields is required, with GPU-based environment familiarity preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Security #ML (Machine Learning) #Ansible #Cloud #Prometheus #Scala #Infrastructure as Code (IaC) #Version Control #Python #Grafana #Monitoring #Deployment #DevOps #Jenkins #AI (Artificial Intelligence) #Automation #Terraform #Kubernetes #Observability #GitHub #Docker #Bash
Role description
Title: DevOps Engineer
Duration: 12+ months
Location: Santa Clara, CA (Onsite)
Description:
• We are seeking a skilled and motivated DevOps Engineer to join our team in building and maintaining high-performance infrastructure for GPU-based workloads.
• In this role, you'll be responsible for developing scalable, reliable systems across both on-premises and cloud environments.
• You’ll work closely with engineering teams to streamline CI/CD pipelines, automate operations, and support advanced compute environments.
Key Responsibilities:
• Design and implement scalable infrastructure using Kubernetes across both on-prem and major cloud service providers (CSPs)
• Develop and maintain CI/CD pipelines with tools like Buildkite, GitHub Actions, and Jenkins to ensure smooth and reliable software delivery
• Automate infrastructure operations using Ansible, Python, and Bash to reduce manual toil and improve system consistency
• Manage service deployment within Kubernetes using Helm and GitOps-style workflows
• Configure and support GPU servers, including lifecycle management, health monitoring, and test automation
• Maintain node health and security, ensuring timely updates and proactive monitoring of GPU server fleets
• Provision, scale, and maintain Kubernetes clusters
Required Qualifications
• 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering
• Proficiency in Ansible, Python, and Bash for automation and tooling
• Solid hands-on experience with Kubernetes, Docker, and Helm
• Strong knowledge of CI/CD pipeline design, version control best practices, and build systems
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Nagios)
Nice to Have
• Familiarity with GPU-based compute environments and automated CI/test workflows
• Experience with infrastructure-as-code (IaC) tools such as Terraform
• Familiarity with container security practices and CVE scanning
• Background in high-performance computing (HPC), Slurm, or ML/AI training pipelines
Title: DevOps Engineer
Duration: 12+ months
Location: Santa Clara, CA (Onsite)
Description:
• We are seeking a skilled and motivated DevOps Engineer to join our team in building and maintaining high-performance infrastructure for GPU-based workloads.
• In this role, you'll be responsible for developing scalable, reliable systems across both on-premises and cloud environments.
• You’ll work closely with engineering teams to streamline CI/CD pipelines, automate operations, and support advanced compute environments.
Key Responsibilities:
• Design and implement scalable infrastructure using Kubernetes across both on-prem and major cloud service providers (CSPs)
• Develop and maintain CI/CD pipelines with tools like Buildkite, GitHub Actions, and Jenkins to ensure smooth and reliable software delivery
• Automate infrastructure operations using Ansible, Python, and Bash to reduce manual toil and improve system consistency
• Manage service deployment within Kubernetes using Helm and GitOps-style workflows
• Configure and support GPU servers, including lifecycle management, health monitoring, and test automation
• Maintain node health and security, ensuring timely updates and proactive monitoring of GPU server fleets
• Provision, scale, and maintain Kubernetes clusters
Required Qualifications
• 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering
• Proficiency in Ansible, Python, and Bash for automation and tooling
• Solid hands-on experience with Kubernetes, Docker, and Helm
• Strong knowledge of CI/CD pipeline design, version control best practices, and build systems
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Nagios)
Nice to Have
• Familiarity with GPU-based compute environments and automated CI/test workflows
• Experience with infrastructure-as-code (IaC) tools such as Terraform
• Familiarity with container security practices and CVE scanning
• Background in high-performance computing (HPC), Slurm, or ML/AI training pipelines
