Howden

About the Company

We’re Howden, the people first insurance group with employee ownership at its heart.

From launching with just three employees in 1994, we’ve grown to 20,000 people around the globe. Together, our expertise span the full spectrum of insurance: broking, reinsurance, underwriting, risk consultancy and employee benefits.

We rise to any challenge and are determined to use insurance as a force for good.

Listed Jobs

Company Name

Howden

Job Title

Cloud Engineer

Job Description

Purpose of the Role:
We are seeking an experienced and motivated AIOps Engineer to join our growing and dynamic Data Science & AI platform team.

The AIOps Engineer will play a key technical role in building and advancing our Data Science and AI technology stack, leveraging modern day cloud services, and driving CI/CD & automation practices.

The ideal candidate should have a strong experience in DevOps and AIOps practices, including deploying Azure infrastructure services following best practises, with a strong focus on containerisation, analytics, virtual networking and serverless computing.

Key Responsibilities / Accountabilities:

As an AIOps Engineer, you will be responsible for shaping our technical roadmaps across our AI/ML toolset, defining our technical governance and standards and will play an important role in wider collaboration with technology platforms across the business.

You will work alongside a technical team of engineers to support the delivery of AI/ML related projects and deliverables, enabling us support customer requirements, building future proofed AI/ML solutions and supporting the business towards achieving its strategic goals and objectives.
Collaborate with cross functional teams across the business, with a key focus on alignment to enterprise architecture for our Data Science & AI capabilities.
Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset.
Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong focus area.
Support and Enhance our CI/CD pipelines to streamline SDLC and improve our overall MLOps & AIOps capabilities.
Monitor system performance and deliver proactive maintenance improvements.
Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance.
Knowledge and Experience:
Strong experience implementing Azure Infrastructure Services in accordance with best practises.
Strong experience in automation levering scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and PowerShell.
Proven understanding in Containerisation and Serverless computing services and practices (examples such as Docker, Azure AKS, ACI, AWS EKS and Lambda).
Strong networking skills specifically in the use of securing data in the cloud.
Experience in the deployment and support of Databricks, Azure Synapse, Azure OpenAI, Azure Search, Azure AI services, Azure ML and other AI/ML related services.
A solid understanding of DevOps, AIOps and MLOps principles and concepts.
Experience in delivering and managing CI/CD Pipelines leveraging tools such as Azure DevOps and Jenkins.

London, United Kingdom

On site

05-03-2025