Job Details

GCP Cloud DevOps Engineer New FinTech

Advertiser
Stanford Black
Location
London, United Kingdom
Rate
-

Having recently moved their infrastructure to GCP, they are now looking for a bright and proactive self-starter to take full ownership of their high availability and highly scalable Cloud and DevOps environment as they continue to expand across the US and look towards Europe and Asia.

Alongside the day to day management of their GCP platform, you will immerse yourself in a multitude of challenging full lifecycle DevOps projects and be expected to provide ideas and solutions to complex problems, recommending cutting edge tools and processes along the way.

As the company continues to expand it will offer genuine career progression as the right candidate will have a opportunity to grow the team and manage additional DevOps Engineers in the very near future.

Key Duties:

Day to day management of their distributed GCP platform
Ensure the GCP platform is optimised and running efficiently
Design, test, maintain and improve CI/CD microservice pipelines
Expand the infrastructure to different regions and increase scalability
Measure and monitor platform performance and availability
Research, recommend and deploy the latest technology and tools for improvements
Ensure the platform and infrastructure is secure and robust at all times
Collaborate with the technical team to support the infrastructure
Ensure good software engineering practice underpins the DevOps environment

You will need:

Excellent knowledge of GCP DevOps infrastructure in a commercial environment
In-Depth knowledge of configuration and container management (Kubernetes, Terraform, Istio Service Mesh etc)
Excellent knowledge of Cloud Networking including VPNs, Firewalls, Subnetting, VPCs and NATs
Experience with CI/CD tooling (Bitbucket/Pipelines)
Experience with Monitoring tools (Prometheus, Grafana, Stackdriver)
Good knowledge of infrastructure and software security
Good knowledge of MySQL database architecture and performance
Experience of managing a GCP DevOps environment running a highly scalable, distributed

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