Cloud Engineer

Howden Group Holdings; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Howden Group is seeking an experienced AIOps Engineer for their Data Science & AI platform team in London. The role involves building a modern technology stack on Azure, driving automation and CI/CD practices to enhance AI/ML solutions. Candidates should possess a strong background in cloud services and DevOps principles, contributing to the success of strategic projects and improving infrastructure security and compliance.

Benefits

Career progression opportunities

Flexible working hours

Diversity and inclusion programs

Qualifications

• Strong experience in automation using Azure infrastructure.
• Proven knowledge of AIOps and MLOps practices.
• Experience deploying services like Databricks, Azure ML, etc.

Responsibilities

• Implement and manage Azure cloud infrastructure focused on AI/ML.
• Automate processes using CI/CD principles to enhance delivery.
• Monitor system performance and ensure security compliance.

Skills

Automation

Cloud Services

Containerisation

Networking

Monitoring

Education

Experience in Azure Infrastructure Services

Knowledge of DevOps, AIOps, MLOps

Scripting languages (JSON, Python)

Tools

Terraform

Ansible

Azure DevOps

Jenkins

Job description

Who are we?

Howden is a collective – a group of talented and passionate people all around the world. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 18,000 employees spanning over 100 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

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 anAIOps 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.

What do we offer in return?

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

• Our successes have all come from someone brave enough to try something new

• We support each other in the small everyday moments and the bigger challenges

• We are determined to make a positive difference at work and beyond

Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Permanent