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Cloud Engineer

Howden Group Holdings

London

Hybrid

GBP 50,000 - 90,000

3 days ago
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Job summary

An established industry player is seeking an experienced AIOps Engineer to join their dynamic Data Science & AI platform team. This role focuses on building and advancing the AI technology stack while leveraging modern cloud services. You will play a key role in shaping technical roadmaps, defining governance standards, and collaborating across teams to deliver innovative AI solutions. The company fosters a culture of support and diversity, making it an exciting place for individuals passionate about technology and collaboration. If you're ready to make an impact in the AI space, this opportunity is for you.

Qualifications

  • Strong experience with Azure services and automation scripting.
  • Proven understanding of containerization and serverless computing.

Responsibilities

  • Shape technical roadmaps for AI/ML toolsets and governance.
  • Collaborate with teams to support AI/ML project delivery.

Skills

Azure Infrastructure Services

Automation (JSON, Bicep, Yaml, Python, Terraform, Ansible, PowerShell)

Containerisation

Networking Skills

AI/ML Services (Databricks, Azure Synapse, Azure OpenAI)

DevOps, AIOps, MLOps Principles

CI/CD Pipelines (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.

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.

  1. Collaborate with cross functional teams across the business, with a key focus on alignment to enterprise architecture for our Data Science & AI capabilities.
  2. 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.
  3. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong focus area.
  4. Support and Enhance our CI/CD pipelines to streamline SDLC and improve our overall MLOps & AIOps capabilities.
  5. Monitor system performance and deliver proactive maintenance improvements.
  6. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance.
Knowledge and Experience:
  1. Strong experience implementing Azure Infrastructure Services in accordance with best practises.
  2. Strong experience in automation leveraging scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and PowerShell.
  3. Proven understanding in Containerisation and Serverless computing services and practices (examples such as Docker, Azure AKS, ACI, AWS EKS and Lambda).
  4. Strong networking skills specifically in the use of securing data in the cloud.
  5. 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.
  6. A solid understanding of DevOps, AIOps and MLOps principles and concepts.
  7. 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:
  1. Our successes have all come from someone brave enough to try something new
  2. We support each other in the small everyday moments and the bigger challenges
  3. 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.

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