DevOps Engineer - Security Data and AI Lab

Lloyds Banking Group
Edinburgh, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 55K

Job location

Remote
Edinburgh, United Kingdom

Tech stack

Artificial Intelligence
Bash
Cloud Computing
Continuous Delivery
Continuous Integration
DevOps
Github
Python
Spinnaker
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Cloud Platform System
System Availability
Delivery Pipeline
Kubernetes
Infrastructure Automation Frameworks
Terraform
Docker
Jenkins

Job description

As a DevOps Engineer in our Security Data and AI lab, a part of the Chief Security Office (CSO). You'll help drive the influence of data and AI, employed with cloud infrastructure, on our product operations, offering substantial potential for improving customer service. This serves as the foundation of our operations and is needed for shaping the Bank of the Future.

The sheer pace and scale of change taking place in the data space means there couldn't be a more exciting time to join us. With a modern technology toolset at our fingertips, we'll build even more opportunities to get the most from our data and leveraging AI & machine learning capabilities. You'll be supporting the build, development, implementation and managing the continuous integration and continuous deployment of pipelines. You'll also compose, implement, and oversee scalable, secure, and reliable infrastructure on Google Cloud Platform using Infrastructure as Code tools.

Working alongside development, operations, and product teams to ensure seamless integration and delivery of applications, you'll monitor delivery pipeline performance, solve issues, and optimise to ensure high availability as well as supporting security protocols and uphold compliance standards throughout the cloud environment.

Requirements

  • Experience in DevOps engineering, ideally GCP, but with a growth mindset if another cloud platform.
  • Proficiency in working with CI/CD tools including Spinnaker, Jenkins, Harness, Terraform, GitHub, Docker or similar.
  • Scripting skills in languages such as Python, or Bash.
  • Practical experience with automation tools and Infrastructure as Code (IaC) platforms (e.g., Terraform)
  • Experience in containerisation and orchestration with Kubernetes experience and knowledge a must-have

And any experience of these would be great…

  • Knowledge of Kubeflow deployments or experience delivering platforms built for AI use cases e.g. through Vertex AI,
  • Experience migrating capabilities from one cloud platform to another.
  • Understanding and experience using vault capabilities.

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply., Disability Confident About Disability Confident A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to .

Benefits & conditions

We also offer a wide-ranging benefits package, which includes…

  • A generous pension contribution of up to 15%
  • An annual bonus award, subject to Group performance
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 28 days' holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

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