Senior DevOps Engineer at Bank of England
Leeds, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

14 Aug, 25

Salary

62190.0

Posted On

14 May, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Security, Addition, Availability, Service Continuity, Change Management, Provision

Industry

Information Technology/IT

Description

ABOUT US

We are Data Services, our mission is to unlock the value of data by delivering high-quality, reliable, and secure data services that are accessible, understandable, and actionable. We continuously evolve our offerings, using modern cloud-based technologies, and forge strong partnerships to help our colleagues in the Bank navigate the complexities of a data-driven world and achieve their strategic objectives.

JOB DESCRIPTION

The Bank is creating its cloud Data Platform to build and maintain our analytical services more effectively. We are on the lookout for a versatile senior DevOps Engineer with great understanding and proficiency in cloud Data Platforms, particularly with experience in Azure, Terraform, and GitHub.
You’ll be a key player in the technical implementation, building and maintaining the Data Platform services. Your initiative will be crucial in shaping the development roadmap, and you’ll provide technical guidance to other engineers on the team.

Responsibilities

The role will include:

  • Manage and maintain Azure Data Services infrastructure, which will work alongside many other cloud-based components, such as Databricks, Purview and Cognitive / Machine Learning Services.
  • Define SLAs and operational processes for data-related infrastructure.
  • Support live initiatives and ensure system reliability and availability.
  • Be a domain expert, defining processes and ensuring smooth collaboration across multiple teams.
  • Optimise and automate infrastructure maintenance and deployment
  • Ensure security, compliance, and performance.
  • Monitor and solve issues in DevOps pipelines and environments, including possible out of hours work on a support rota.
  • Proactive change management, supporting Data Engineering, Data Science, DataOps and Analytical teams to ensure evergreen environments.
  • Provision of stable environments with minimal disruption and assured service continuity.
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