Deeplight AI

Technology

DevOpsEngineer

AED 225–350k ~AI est. Dubai, Dubai, United Arab Emirates
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid-level candidates.

The Brief

“DevOps Engineer at Deeplight AI. Skills: Infrastructure-as-code, Kubernetes, AKS, Azure DevOps. Govern AWA Azure infrastructure. Manage AKS clusters”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting; Root cause analysis

What They're Looking For.

Must Have

5+ years DevOps/SRE/Platform Engineering, 2+ years Azure ecosystem focus, Production Kubernetes deployments, Bachelor's degree in Computer Science, Bachelor's degree in Systems Engineering

Nice to Have

Kubernetes Workload Identity proficiency, Managed identity architectures proficiency, Azure Key Vault access security profiles proficiency, Azure AI Foundry familiarity, API Management platforms familiarity, Azure Event Hubs familiarity, Kafka consumer groups familiarity, ADLS Gen2 storage structure management familiarity, Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), Certified Kubernetes Administrator (CKA)

What You'll Do.

Govern AWA Azure infrastructure

Manage ADLS Gen2 accounts

Manage API Management configurations

Manage private endpoints

Manage Key Vault instances

Design automated Azure DevOps pipelines

Manage container compilation

Manage Notary v2 image signing

Manage infrastructure deployments

Manage validation testing gates

Enforce network policies

Enforce pod isolation

Manage workload identities

Manage KEDA autoscaling rules

Oversee container registries

Enforce image signing

Monitor vulnerability tracking outputs

Maintain admission control policies

Administer access architectures

Manage managed identity configurations

Manage automated TLS lifecycles

Manage cryptographic secret rotation

Construct KQL queries

Construct alerting conditions

Track runtime failures

Track token utilization

Implement platform security

Manage private connectivity endpoints

Manage Azure Policy enforcement

Manage enterprise firewall architectures

Define automated disaster recovery

Implement automated disaster recovery

Validate automated disaster recovery

How You'll Work.

Team & Collaboration

AI Centre of Excellence

Full Job Description

DeepLight 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. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component—ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations—is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions. ### Your responsibilities as the DevOps Engineer include: * Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances. * Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates. * Managing multi-namespace AKS clusters, enfo

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