# Software Architect — AIQU

Canonical: https://jobxdubai.com/jobs/li-4440689544-software-architect
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 35,000 to 60,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-16
Apply: https://www.linkedin.com/jobs/view/software-architect-at-aiqu-4440689544?_l=en

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## Description

We are hiring for one of our clients in Dubai for the below requirement.

Job Details:

Role: Software and Architecture Engineer

Employment Type: Full-Time, for one of our clients

Work Location: Dubai, United Arab Emirates.

Notice period: Immediate joiners to a maximum of 15-30 days of notice

Required Experience:

• 5+ years experience hands-on experience delivering and operating SaaS applications and cloud-native infrastructure at scale (AWS, GCP, Azure).

• Strong experience with multiple programming languages (e.g., Python, Go) for building production software.

• Expertise in Kubernetes orchestration and service mesh patterns.

• Proficiency with Infrastructure-as-Code tools such as Terraform or Pulumi.

• Knowledge of CI/CD automation, GitOps principles, and progressive deployment patterns, with related tooling (e.g., ArgoCD, FluxCD, Jenkins).

• Mastery of observability tools.

• Comfortable designing multi-tenant SaaS platforms with strict cross-tenant security boundaries.

• Strong experience with zero-trust networking, encrypted service communication, VPNs, and Private Links.

• Familiarity with secure enclave technologies.

• Understanding of data residency enforcement and jurisdictional compliance routing.

• Practical experience integrating privacy-by-design practices into software and infrastructure systems.

• Direct experience deploying and operating Kubernetes-managed SaaS systems with multi-tenant architectures.

• Experience integrating machine learning models into production environments using REST APIs, SDKs, or microservices.

• Integrate AI functionalities into user-centric designs, and connect with DevOps/MLOps/LLMOps pipelines for AI model and agent deployment

• Built and operated production-grade CI/CD systems with blue-green deployments; experience with unit and integration testing.

• Led initiatives requiring strict regulatory compliance enforcement through infrastructure.

• Demonstrated success working alongside AI/ML teams to operationalize data-driven features, in agile or cross-functional environments with strong stakeholder collaboration.

If you are interested & have the above relevant experience, please apply here with your latest resume and we shall get in touch with you!.

Thank you!

AIQU

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## Requirements

5+ years experience delivering and operating SaaS applications and cloud-native infrastructure at scale (AWS, GCP, Azure). Proficiency with multiple programming languages (e.g., Python, Go). Expertise in Kubernetes orchestration and service mesh patterns. Infrastructure-as-Code tools such as Terraform or Pulumi. Knowledge of CI/CD automation, GitOps principles, and progressive deployment patterns (ArgoCD, FluxCD, Jenkins). Mastery of observability tools. Experience deploying and operating Kubernetes-managed multi-tenant SaaS systems with strict cross-tenant security. Familiarity with zero-trust networking, encrypted service communication, VPNs and Private Links. Understanding of data residency enforcement and jurisdictional compliance routing. Experience integrating privacy-by-design practices. Experience integrating ML models into production environments via REST APIs/SDKs/microservices. Ability to lead AI/ML integration with DevOps/MLOps/LLMOps pipelines.

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