Azure Support Engineer (with AI & DevOps Exposure)

Azure Support Engineer (with AI & DevOps Exposure)

Posted Today by SmartCo Consulting

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Negotiable
Undetermined
Remote
England, United Kingdom
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Artificial Intelligence Automation Azure Databricks Azure DevOps Azure Security Bash (Scripting Language) Cloud Computing Cloud Engineering Cloud Governance Cloud Operations Cloud Technology Containerisation Continuous Integration and Continuous Delivery Databricks DevOps Financial Services Infrastructure as Code (IaC) JIRA Kusto Query Language Machine Learning Management Microsoft 365 Microsoft Azure Python (Programming Language) Scripting Support Engineering Terraform YAML

Summary: The Azure Support Engineer role focuses on providing support for Azure environments within the financial services sector, managing incidents and tickets while gradually transitioning into DevOps automation and AI engineering tasks. The position requires a strong foundation in Azure support, with an emphasis on cloud operations and automation. Ideal candidates will have experience in financial services and a desire to evolve into AI and automation as the program develops. This role is remote and contract-based.

Key Responsibilities:

  • Provide support and troubleshooting across Azure environments (incident, request, and problem management).
  • Resolve tickets related to Azure services, networking, App Services, Key Vault, AKS, resource provisioning, and pipelines.
  • Maintain and improve CI/CD pipelines (Azure DevOps, YAML, Terraform, etc).
  • Automate support processes and infrastructure provisioning where possible.
  • Collaborate with cloud, data, and AI teams to stabilise and enhance Azure operations.
  • Support the integration and deployment of AI / GenAI workloads (Azure ML, Databricks, Azure AI Foundry, Azure OpenAI).
  • Ensure environment reliability, monitoring, and adherence to cloud governance standards.

Key Skills:

  • Prior experience in financial services or large enterprise environments.
  • Strong experience as an Azure Support Engineer, Cloud Support Engineer, or similar role.
  • Solid knowledge of Microsoft Azure services (App Services, Key Vault, Networking, AKS, etc.).
  • Hands-on experience with Azure DevOps, CI/CD pipelines, and IAC (Terraform, Bicep, ARM).
  • Exposure to AI / Machine Learning platforms such as Azure ML, AI Foundry, or Databricks.
  • Good scripting and automation skills (PowerShell, Bash, or Python).
  • Proven experience with incident and problem management tools (ServiceNow, JIRA).
  • Excellent analytical, troubleshooting, and communication skills.
  • Knowledge of monitoring and logging tools (App Insights, Log Analytics, KQL).
  • Familiarity with containerisation (Docker, AKS) and Azure security best practices.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Azure Support Engineer (with AI & DevOps Exposure)

Location: Remote

Engagement: Contract

Industry: Financial Services

We’re looking for an experienced Azure Support Engineer, to join an ongoing financial services team, focused on cloud operations, automation, and AI transformation. This role will begin with a strong support focus, managing Azure related tickets, incidents, and environment issues, and will gradually evolve into more DevOps automation and AI / GenAI engineering work (Azure ML, Databricks, Azure AI Foundry). It’s ideal for someone who’s comfortable in Azure platform support but interested in progressing towards AI and automation as the programme matures.

Key Responsibilities

  • Provide support and troubleshooting across Azure environments (incident, request, and problem management).
  • Resolve tickets related to Azure services, networking, App Services, Key Vault, AKS, resource provisioning, and pipelines.
  • Maintain and improve CI/CD pipelines (Azure DevOps, YAML, Terraform, etc).
  • Automate support processes and infrastructure provisioning where possible.
  • Collaborate with cloud, data, and AI teams to stabilise and enhance Azure operations.
  • Support the integration and deployment of AI / GenAI workloads (Azure ML, Databricks, Azure AI Foundry, Azure OpenAI).
  • Ensure environment reliability, monitoring, and adherence to cloud governance standards.

Skills & Experience

  • Prior experience in financial services or large enterprise environments.
  • Strong experience as an Azure Support Engineer, Cloud Support Engineer, or similar role.
  • Solid knowledge of Microsoft Azure services (App Services, Key Vault, Networking, AKS, etc.).
  • Hands-on experience with Azure DevOps, CI/CD pipelines, and IAC (Terraform, Bicep, ARM).
  • Exposure to AI / Machine Learning platforms such as Azure ML, AI Foundry, or Databricks.
  • Good scripting and automation skills (PowerShell, Bash, or Python).
  • Proven experience with incident and problem management tools (ServiceNow, JIRA).
  • Excellent analytical, troubleshooting, and communication skills.

Nice to Have

  • Knowledge of monitoring and logging tools (App Insights, Log Analytics, KQL).
  • Familiarity with containerisation (Docker, AKS) and Azure security best practices.

Ideal Candidate

  • Comfortable working in a support-focused Azure environment.
  • Enjoys resolving tickets, stabilising cloud platforms, and improving automation.
  • Keen to expand into AI, GenAI, and DevOps-oriented cloud engineering over time.
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