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Join a dynamic team at an innovative firm as an AIOps Engineer, where you will shape the future of Data Science and AI. This role involves leveraging cutting-edge cloud services and driving automation practices to enhance operational efficiency. Collaborate with cross-functional teams to implement high-performance infrastructure on Azure and support strategic AI initiatives. Embrace a culture that values diversity, encourages trying new things, and makes a positive impact. If you're passionate about technology and ready to take on challenges, this opportunity is perfect for you.
Howden is a collective – a group of talented and passionate people around the world. We have pushed the boundaries of insurance, united by a shared passion and no-limits mindset. Our strength lies in our ability to collaborate as a powerful international team of 18,000 employees across over 100 countries.
People join Howden for many reasons, but stay for our culture. It’s what sets us apart and why employees turn down headhunters. Whether your priorities are work/life balance, career progression, sustainability, or volunteering, you’ll find like-minded people driving change at Howden.
We seek an experienced and motivated AIOps Engineer to join our growing Data Science & AI platform team.
The AIOps Engineer will build and advance our Data Science and AI technology stack, leveraging modern cloud services, and drive CI/CD & automation practices.
The ideal candidate should have strong DevOps and AIOps experience, including deploying Azure infrastructure services following best practices, with a focus on containerisation, analytics, virtual networking, and serverless computing.
Shape technical roadmaps for AI/ML tools, define governance and standards, and collaborate across technology platforms.
Support AI/ML projects, enabling customer requirements, building future-proof solutions, and helping the business achieve strategic goals.
Collaborate with cross-functional teams to align with enterprise architecture for Data Science & AI capabilities.
Implement and manage secured, scalable, high-performance infrastructure on Azure supporting Data Science and AI tools.
Automate infrastructure provisioning, configuration, and deployment, emphasizing CI/CD principles.
Enhance CI/CD pipelines to improve SDLC, MLOps, and AIOps capabilities.
Monitor system performance and implement proactive maintenance.
Ensure security and compliance, focusing on vulnerability management and maintenance.
Experience deploying Azure Infrastructure Services per best practices.
Proficiency in scripting languages like JSON, Bicep, Yaml, Python, Terraform, Ansible, PowerShell.
Understanding containerisation and serverless services (e.g., Docker, Azure AKS, AWS EKS, Lambda).
Strong networking skills for securing data in the cloud.
Experience with Databricks, Azure Synapse, Azure OpenAI, Azure Search, Azure AI services, Azure ML.
Solid understanding of DevOps, AIOps, and MLOps principles.
Experience managing CI/CD pipelines with Azure DevOps and Jenkins.
A career you define. We value diversity and seek individuals sharing our values:
Success comes from trying new things bravely.
We support each other through challenges and daily moments.
We aim to make a positive difference at work and beyond.
We provide accommodations to align roles with your needs, including flexible hours and hybrid working options where possible. If you’re interested but unsure if it’s the right fit, apply anyway. If your profile matches the role, we’ll help arrange any necessary adjustments.
*Not all roles can accommodate flexible hours or locations. Contact your Recruitment Partner for more info.