AI Software & Platform Architect
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Key skills for this role
About the Role
Discovered MENA partners with an AI technology company seeking a Software & Platform Architect in Dubai. The role involves designing scalable cloud-native platforms, integrating AI models into production, and leading architectural decisions.
Key Skills for This Role
Responsibilities
- Design, build, and maintain scalable software applications and cloud native platforms that support AI powered products
- Partner with AI and engineering teams to integrate machine learning models into production applications, ensuring performance, reliability, and maintainability
- Design cloud architectures across AWS, Azure, GCP, or hybrid environments, with a strong focus on scalability, resilience, and automation
- Lead architectural decisions around Kubernetes, microservices, Infrastructure as Code, CI/CD, and modern deployment strategies
- Implement observability, monitoring, logging, and performance optimisation to ensure highly available production systems
- Drive engineering best practices across software architecture, security, automation, and platform reliability
- Collaborate with cross functional stakeholders to translate business requirements into scalable technical solutions
Requirements
- 5+ years of experience designing and delivering cloud native software platforms and distributed systems in production environments
- Strong software engineering background using Python, Go, or similar, alongside experience building scalable backend services
- Deep experience with AWS, Azure, or GCP, Kubernetes, containerisation, Infrastructure as Code (Terraform, Pulumi or similar), and modern CI/CD practices
- Strong understanding of microservices architecture, GitOps, observability, and platform automation using modern engineering tooling
- Experience integrating AI or machine learning models into production systems using APIs, SDKs, or microservices
- Knowledge of MLOps, cloud infrastructure, and supporting AI workloads in scalable production environments would be highly advantageous
- Strong appreciation for platform security, cloud networking, data protection, and building highly resilient systems
- Excellent communication skills with the ability to influence architectural decisions and collaborate effectively across engineering, product, and business teams
Full Job Posting
Discover the Opportunity
- We're partnering with an innovative AI technology company that is building next generation intelligent software platforms for enterprise customers.
- As the business continues to scale, they're looking for a Software & Platform Architect to bridge modern software engineering with cloud infrastructure, ensuring AI powered applications are delivered through secure, scalable, and highly available platforms.
- This is a highly hands on role combining software architecture, cloud native engineering, and platform design.
- You'll work closely with AI, product, and engineering teams to build production grade systems that support the delivery of cutting edge AI applications.
Discover the Responsibilities
- Design, build, and maintain scalable software applications and cloud native platforms that support AI powered products
- Partner with AI and engineering teams to integrate machine learning models into production applications, ensuring performance, reliability, and maintainability
- Design cloud architectures across AWS, Azure, GCP, or hybrid environments, with a strong focus on scalability, resilience, and automation
- Lead architectural decisions around Kubernetes, microservices, Infrastructure as Code, CI/CD, and modern deployment strategies
- Implement observability, monitoring, logging, and performance optimisation to ensure highly available production systems
- Drive engineering best practices across software architecture, security, automation, and platform reliability
- Collaborate with cross functional stakeholders to translate business requirements into scalable technical solutions
Discover the Requirements
- 5+ years of experience designing and delivering cloud native software platforms and distributed systems in production environments
- Strong software engineering background using languages such as Python, Go, or similar, alongside experience building scalable backend services
- Deep experience with AWS, Azure, or GCP, Kubernetes, containerisation, Infrastructure as Code (Terraform, Pulumi or similar), and modern CI/CD practices
- Strong understanding of microservices architecture, GitOps, observability, and platform automation using modern engineering tooling
- Experience integrating AI or machine learning models into production systems using APIs, SDKs, or microservices
- Knowledge of MLOps, cloud infrastructure, and supporting AI workloads in scalable production environments would be highly advantageous
- Strong appreciation for platform security, cloud networking, data protection, and building highly resilient systems
- Excellent communication skills with the ability to influence architectural decisions and collaborate effectively across engineering, product, and business teams
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