Senior Data Infrastructure SRE
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Infrastructure SRE, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Kubernetes, Python, and cloud storage technologies. Requires 7+ years of experience in cloud environments and team leadership.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 7, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Cloud #Google Cloud Storage #Storage #S3 (Amazon Simple Storage Service) #Python #Linux #Kubernetes #Monitoring
Role description
Minimum Qualifications:
• 7+ years experience in building, operating and scaling a large application in a private, public or hybrid cloud environment
• Experience hiring and leading a team of engineers in their respective timezones
• Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS)
• Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust
• Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS)
• Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures
• Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture
Preferred Qualifications:
• Proven drive to automate manual operations and enhance processes through continuous iteration
• Strong understanding of best practices for deploying large-scale, distributed applications
• Hands-on experience managing diverse system environments using configuration management tools or software delivery platforms such as Spinnaker, Helm, or Flux
• Demonstrated expertise in deploying, supporting, and monitoring both new and existing services, platforms, and application stacks
• Solid familiarity with container orchestration and management using Kubernetes
Minimum Qualifications:
• 7+ years experience in building, operating and scaling a large application in a private, public or hybrid cloud environment
• Experience hiring and leading a team of engineers in their respective timezones
• Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS)
• Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust
• Practical experience with object storage technologies, including Amazon S3 or Google Cloud Storage (GCS)
• Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures
• Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture
Preferred Qualifications:
• Proven drive to automate manual operations and enhance processes through continuous iteration
• Strong understanding of best practices for deploying large-scale, distributed applications
• Hands-on experience managing diverse system environments using configuration management tools or software delivery platforms such as Spinnaker, Helm, or Flux
• Demonstrated expertise in deploying, supporting, and monitoring both new and existing services, platforms, and application stacks
• Solid familiarity with container orchestration and management using Kubernetes
