4 of 4 Remote/Hybrid Google Jobs in Edinburgh

Senior Site Reliability Engineer - Python

Hiring Organisation
Inspire People
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent, Part Time, Work From Home
Salary
£80,000
distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

Senior Site Reliability Engineer - Python

Hiring Organisation
Inspire People
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Full-Time
Salary
£63,824 - £80,158 per annum, Pro-rata, Inc benefits
distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

Lead Site Reliability Engineer (SRE Squad Lead)

Hiring Organisation
Inspire People
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent, Part Time, Work From Home
Salary
£80,000
explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. Ability ...

Associate/Vice President, AI Infrastructure Engineer

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
systems engineering roles. 4+ hands‐on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management ...