Cloud Ops Engineering Lead

Overview

Deep Light AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank's AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards.

This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.

• Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions
• Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure Dev Ops and Git Hub Actions
• Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency
• Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy
• Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing
• Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools
• Organizing and supervising team activities, ensuring targets are met in line with ADCB's policies and continuous improvement initiatives
• Supporting, Coaching and Mentoring more junior members of the team, when required
• Additional responsibilities on occasion, on management request

• Minimum of 5 years in designing and deploying AI/ML solutions on Azure
• Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field
• Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred
• Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance)
• Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints
• Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps
• Advanced expertise in Terraform for automating complex cloud architectures
• Strong grasp of secure cloud networking and secret management (Azure Key Vault)
• Proficient in Azure Dev Ops, Git Hub, and data processing frameworks like Apache Spark

• Familiarity with AWS services (Sage Maker, S3, Cloud Watch) for cross-cloud or hybrid deployment scenarios
• Ability to optimize cloud spend while maintaining high availability and performance
• Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview
• Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads

• Competitive salary
• Visa Sponsorship for the successful individual.
• Comprehensive health insurance for the successful individual.
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At Deep Light AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.