Job Description
These are some of the key ingredients to the role:
Implement a secure and well tested Google Cloud Platform (GCP) using Infrastructure as Code
Implement and maintain auto-scaling & auto-healing Kubernetes clusters in GKE along with the developers
Facilitate automation of applications deployments in Google Cloud though the design and implementation of standardised CI/CD pipelines in Github Actions
Maintain logging, monitoring & alerting across all applications with the Prometheus stack and Google managed services
Manage cross cloud networking within AWS & Google Cloud for seamless multi-cloud strategy
Promote and evangelise DevOps best practices inside and outside the team
Encouraging a high-performance culture and a strong team
Using standard methodologies to improve products/services or processes.
Working with other teams to deprecate old services
Day-to-day technical leadership - no people management
What will you bring to the table?
Experience working with Google Cloud Platform, bonus points for knowledge of AWS. In particular knowledge of infrastructure management ( VPC, Subnets, IAM, VPN, DNS, etc..) and other managed services like CloudFunctions, CloudRun, etc..
Experience with GCP data services, BigQuery, Datastream, Dataflow, Cloud Storage will be appreciated
Scripting and programming experience in particular Bash, Python or other programming languages.
Experience with Docker for generating containers and managing them at scale
Experience with container orchestration solutions (GKE, Autopilot) and more generally Kubernetes
Deployment orchestration tools like Helm
Familiarity with CI/CD standard methodologies and technologies like GitHub Actions or similar
Experience in Infrastructure as Code technologies (Terraform, Pulumi or equivalent) for building repeatable infrastructure over multiple environments.
System logging and monitoring using tools such as Prometheus, Grafana, Cloud Logging, Cloud Monitoring and Google Managed Prometheus
Linux
Real-world experience building scalable systems, working with large datasets, and fixing infrastructure challenges under pressure.
Ability to deliver solutions for platform scaling, performance troubleshooting, service failover and optimization.
Implement a secure and well tested Google Cloud Platform (GCP) using Infrastructure as Code
Implement and maintain auto-scaling & auto-healing Kubernetes clusters in GKE along with the developers
Facilitate automation of applications deployments in Google Cloud though the design and implementation of standardised CI/CD pipelines in Github Actions
Maintain logging, monitoring & alerting across all applications with the Prometheus stack and Google managed services
Manage cross cloud networking within AWS & Google Cloud for seamless multi-cloud strategy
Promote and evangelise DevOps best practices inside and outside the team
Encouraging a high-performance culture and a strong team
Using standard methodologies to improve products/services or processes.
Working with other teams to deprecate old services
Day-to-day technical leadership - no people management
What will you bring to the table?
Experience working with Google Cloud Platform, bonus points for knowledge of AWS. In particular knowledge of infrastructure management ( VPC, Subnets, IAM, VPN, DNS, etc..) and other managed services like CloudFunctions, CloudRun, etc..
Experience with GCP data services, BigQuery, Datastream, Dataflow, Cloud Storage will be appreciated
Scripting and programming experience in particular Bash, Python or other programming languages.
Experience with Docker for generating containers and managing them at scale
Experience with container orchestration solutions (GKE, Autopilot) and more generally Kubernetes
Deployment orchestration tools like Helm
Familiarity with CI/CD standard methodologies and technologies like GitHub Actions or similar
Experience in Infrastructure as Code technologies (Terraform, Pulumi or equivalent) for building repeatable infrastructure over multiple environments.
System logging and monitoring using tools such as Prometheus, Grafana, Cloud Logging, Cloud Monitoring and Google Managed Prometheus
Linux
Real-world experience building scalable systems, working with large datasets, and fixing infrastructure challenges under pressure.
Ability to deliver solutions for platform scaling, performance troubleshooting, service failover and optimization.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Cloud DevOps Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.