Senior Cloud Platform Engineer

We are Systematix and we are currently looking for a Senior Cloud Platform Engineer – AI & Data to help design and build the foundational cloud platform supporting enterprise AI, machine learning, data science and scientific computing initiatives for one of our key clients.

Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is building the cloud platform foundation required to support these workloads securely and at enterprise scale. The organization has significant existing Microsoft Azure capabilities;

however, infrastructure provisioning and management remain too dependent on manual processes. The objective is to transition toward a modern Platform Engineering model built around Infrastructure as Code, automation, reusable architecture patterns and self-service capabilities. The successful candidate will initially operate as both architect and hands-on builder, helping establish the technical foundation and engineering practices that will ultimately support a broader enterprise platform engineering capability.

• Design and build scalable Microsoft Azure infrastructure supporting AI/ML, data science and scientific computing workloads.
• Transform manually provisioned and managed cloud infrastructure into automated, reusable Infrastructure as Code.
• Develop standardized cloud infrastructure primitives, reusable platform components and enterprise architecture patterns.
• Build automated infrastructure provisioning and deployment capabilities.
• Establish repeatable Development, UAT and Production environment patterns.
• Design and implement self-service platform capabilities that allow AI/ML, data and engineering teams to consume infrastructure without manual intervention.
• Design and support GPU, accelerated computing and high-performance computing infrastructure.
• Develop reusable architecture patterns capable of being adopted across multiple business units and operating companies.
• Partner with MLOps, Dev Ops and Site Reliability Engineering teams to establish an integrated enterprise engineering platform.
• Embed security, identity, governance, networking and operational requirements directly into reusable platform components and patterns.
• Implement CI/CD and Git-based engineering practices for cloud infrastructure and platform development.
• Improve developer experience by simplifying infrastructure consumption and significantly reducing provisioning timelines.
• Evaluate existing cloud architecture and identify opportunities for automation, standardization and modernization.
• Provide technical leadership and architectural direction while remaining highly hands-on with engineering and implementation.
• Help establish platform engineering standards, practices, documentation and technical foundations that can be transitioned to a permanent internal engineering organization.

• Extensive hands-on Microsoft Azure cloud engineering experience within complex enterprise environments.
• Strong Infrastructure as Code expertise using Terraform and/or equivalent Azure-native technologies.
• Demonstrated experience designing and building reusable enterprise cloud platforms rather than primarily administering existing cloud environments.
• Strong cloud architecture and Platform Engineering experience.
• Hands-on experience with Kubernetes, containers and container orchestration.
• Strong understanding of Azure networking, compute, storage, identity and security services.
• Experience designing automated infrastructure provisioning and deployment capabilities.
• Experience building reusable infrastructure components, templates, modules and standardized cloud patterns.
• Demonstrated experience creating self-service infrastructure or developer platform capabilities.
• Strong experience with CI/CD pipelines and Git-based engineering practices.
• Strong automation and scripting capabilities.
• Experience integrating security, governance and operational controls into cloud platform architecture.
• Ability to operate effectively as both a senior technical architect and hands-on engineer.
• Demonstrated ability to take ambiguous requirements and translate them into scalable technical solutions.
• Strong communication and collaboration skills with the ability to work across infrastructure, cloud, security, Dev Ops, SRE, data and application engineering teams.

• Experience designing cloud platforms supporting artificial intelligence and machine learning workloads.
• Experience with Azure Machine Learning and related Azure AI/data services.
• Experience designing and supporting GPU and accelerated computing environments.
• Experience with high-performance computing or scientific computing workloads.
• Experience partnering with MLOps teams and supporting machine learning engineering…