Cloud Engineer

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.