DevOps Engineer

Responsibilities

• Maintain and govern AWA Azure infrastructure using Terraform or Bicep, including AKS clusters, ADLS Gen2, and Key Vault.
• Design and optimize automated Azure DevOps or GitHub Actions pipelines for container compilation, image signing, and deployment.
• Manage multi-namespace AKS clusters, enforcing network policies, pod isolation, and KEDA autoscaling rules.
• Oversee container registries, image signing, vulnerability tracking, and admission control via OPA Gatekeeper.
• Administer access architectures, managed identities, TLS certificate lifecycles, and secret rotation in Azure Key Vault.
• Construct complex KQL queries in Azure Monitor and Log Analytics to track SLAs and runtime failures.
• Implement platform security, private connectivity endpoints, and enterprise firewall architectures.
• Define and validate automated disaster recovery failover paths to maintain RTO and RPO targets.

Requirements

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles.
• 2+ years of explicit experience within the Azure ecosystem.
• Deep competence in Infrastructure-as-Code (Terraform or Bicep).
• Technical mastery of Kubernetes (AKS) configuration, including Helm/Kustomize and network policies.
• Practical experience implementing automated scaling using KEDA or equivalent metrics.
• Ability to manage multi-stage, gated deployment pipelines via Azure DevOps or GitHub Actions.
• Proficiency in writing advanced KQL (Kusto Query Language) expressions.
• Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.

Preferred Qualifications

• Proficiency with Kubernetes Workload Identity and Azure Key Vault security profiles.
• Familiarity with Azure AI Foundry, API Management, and Azure Event Hubs or Kafka.
• Experience managing immutable ADLS Gen2 storage structures.
• Active certifications such as AZ-104, AZ-400, or CKA.

Benefits

• Competitive salary and monthly employee incentive program.
• Comprehensive personal health insurance.
• Visa sponsorship for the successful candidate.
• Professional development, certification support, and subscription reimbursement.
• Opportunity to work on cutting-edge AI projects within a rapidly growing company.

About the Company

DeepLight AI is a specialist AI and data consultancy that implements intelligent enterprise systems across multiple industries, with a focus on financial services and banking. We deliver tailored, scalable, and secure AI solutions designed to integrate seamlessly into complex enterprise architectures.