We are looking for a specialised Cloud Engineer to build, secure, and maintain the underlying infrastructure for modern data platforms. Unlike traditional cloud engineering roles focused on general application hosting, this position is dedicated to the unique requirements of data workloads including large-scale storage, high-throughput networking, and specialised compute clusters for Spark and SQL.

You will bridge the gap between DevOps and Data Engineering, ensuring data scientists and analysts have a robust, secure, and automated platform for building pipelines and models. The role focuses on the core infrastructure of the data ecosystem, primarily within Databricks, AWS, and Azure environments.

Responsibilties

Platform Architecture: 

• Design and deploy scalable cloud infrastructure for data lakes and analytics platforms using Infrastructure as Code (Terraform)
  

Security & Governance: 

• Implement identity management (IAM / Entra ID), network security (Private Link / VPC), and governance controls (Unity Catalog)
  

Automation: 

• Build CI/CD pipelines for infrastructure and data products.
  
• Automate provisioning of compute resources and workspaces
  

Observability:

• Monitor cost, performance, and reliability of data workloads
  

Enablement:

• Create self-service infrastructure patterns for Data Engineers
  

Requirements

Requirements

• Minimum of 5 years professional cloud engineering experience
• Experience in data engineering and Databricks is highly desirable

Skills and Experience

Core Skills, Tools & Frameworks

Infrastructure as Code:

• Terraform (modules, state, workspaces)
• CloudFormation, Bicep, or Crossplane advantageous

Containerisation & Orchestration:

• Docker and Kubernetes (EKS, AKS, or self-managed)

CI/CD & Version Control:

• Git, Azure DevOps, GitHub Actions

Scripting & Automation:

• Python and Bash
• DBX CLI, AWS CLI, Azure CLI, REST APIs

Cloud Security:

• Least Privilege, RBAC, encryption, secrets management

Cloud Networking:

• VNET/VPC design, Private Link, DNS, Firewalls

Data Platform Architecture:

• Medallion architecture, Delta Lake, Data Vault

Observability:

• Cost management, logging, alerting

Data Workload Understanding:

• PySpark, SQL, dbt, Spark Structured Streaming

AWS Platform Skills:

Storage: S3 configuration, lifecycle policies, intelligent tiering
Identity: IAM roles, cross-account access, federation
Networking: VPC, Transit Gateway, Route53
Serverless: Lambda, Step Functions
Data Services: Glue, Kinesis, EMR

Azure Platform Skills:

Storage: ADLS Gen2, Blob Storage
Identity: Entra ID, Service Principals, Managed Identities
Networking: VNets, Private Link, NSGs
Data Services: Azure Data Factory, Synapse

Databricks Platform & Infrastructure:

• Workspace automation via Terraform
• Unity Catalog configuration
• Cluster policies and instance profiles
• Private Link, VNet Injection, IP Access Lists
• Workflows, DLT, Airflow integrations
• MLflow, Mosaic AI, Vector Search infrastructure

Certifications (Nice to Have)

General Cloud & DevOps:

• AWS Solutions Architect (Associate/Professional)
• Azure Solutions Architect Expert
• Terraform Associate
• Certified Kubernetes Administrator

Data & Platform:

• Databricks Data Engineer Professional
• AWS Data Engineer Associate
• Azure Data Engineer Associate (DP-203)

Cloud Engineer

Enterprise Cloud Transformation | Hyperscalers | DevOps | LLM Platforms

Are you passionate about building, scaling, and operating modern cloud platforms at enterprise scale?
Were looking for a Cloud Engineer to join a high-impact cloud transformation programme, where youll work hands-on with hyperscaler environments, modern DevOps practices, and cutting-edge LLM hosting and runtime platforms.

This role offers the opportunity to design, build, and operate cloud-native solutions that power critical business capabilitiesworking closely with business, IT, and technology partners in a fast-paced, forward-looking environment.

Requirements

What Youll Be Doing

As a Cloud Engineer, you will:

• Assess existing technology landscapes and contribute to cloud transformation initiatives

• Design, implement, and optimise cloud architectures before, during, and after migration

• Build, deploy, and maintain cloud-native systems and services

• Manage cloud governance, cost optimisation, and operational efficiency

• Operate and support cloud databases and platforms

• Implement and enforce cloud security best practices and controls

• Monitor, manage, and optimise cloud resources for performance, resilience, and scalability

• Support LLM hosting, runtime environments, and operations

• Collaborate with DevOps teams to streamline CI/CD pipelines and infrastructure automation

What Were Looking For (Must-Have)

• Strong understanding of IT infrastructure and cloud operations

• Hands-on experience with cloud hosting and cloud-native architectures

• Proficiency in Python and/or Java

• Solid working knowledge of AWS, Azure, and/or GCP

• Practical experience with DevOps pipelines and practices

• Exposure to LLM hosting, deployment, or operations

• Strong problem-solving, analytical, and troubleshooting skills

Nice-to-Have (Bonus Skills)

• Ruby on Rails

• Kubernetes & Docker containerisation

• Experience with GPU-based workloads (e.g. Nvidia H200)

• Azure DevOps

• Azure Cosmos DB

• Advanced cloud automation and orchestration

Screening Focus

Well be prioritising candidates with:

• Hands-on experience in AWS, Azure, or GCP

• Demonstrated DevOps exposure

• Strong programming capability (Python / Java)

• A solid grasp of cloud infrastructure and operations

Benefits

Why Join?

• Work on enterprise-scale, real-world cloud transformation

• Gain exposure to modern DevOps and LLM platforms

• Collaborate with experienced engineers and architects

• Build solutions that matter in a complex, high-impact environment

• Grow your cloud and platform engineering expertise