Cloud Engineer

Systematix; United States; Remote; CAD 130,000 - 180,000; Full time

Job summary

Systematix is seeking a Senior Cloud Platform Engineer – AI & Data to design and build the foundational cloud platform supporting enterprise AI, ML, data science and scientific computing initiatives for a key client. This role is 100% remote, in the Eastern time zone.

You will act as architect and hands-on builder, establishing technical foundation and engineering practices for a broader enterprise platform engineering capability, focusing on automated, code-driven infrastructure and

Qualifications

• Extensive hands-on Azure cloud engineering experience in complex enterprise environments.
• Proficient in Infrastructure as Code using Terraform or Azure-native tools.
• Proven track record designing reusable enterprise cloud platforms.
• Strong cloud architecture and Platform Engineering experience.
• Hands-on with Kubernetes and container orchestration.
• Experience building self-service infrastructure and developer platforms.
• Strong CI/CD and Git-based engineering practices.
• Ability to translate ambiguous requirements into scalable solutions.
• Excellent cross-functional collaboration across teams.

Responsibilities

• Design and build scalable Azure infrastructure for AI and data workloads.
• Transform manual cloud provisioning into automated IaC.
• Develop reusable platform components and architecture patterns.
• Implement self-service platform capabilities for AI/ML teams.
• Collaborate with MLOps, DevOps, SRE teams to unify platform.
• Embed security and governance into platform components.
• Establish CI/CD and Git-based workflows for cloud infra.
• Provide technical leadership while remaining hands-on.
• Drive standardization and modernization of cloud architecture.

Skills

Azure cloud

Platform engineering

Infrastructure as Code

Kubernetes

CI/CD

Automation

Security governance

Communication

Tools

Terraform

Azure-native tools

Job description

We are Systematix and we are currently looking for a Senior Cloud Platform Engineer – AI & Data (Azure AI / IaaC specialist) 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. This role is 100% remote, in the Eastern time zone.

ABOUT THE PROJECT

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.

ABOUT THE RESPONSIBILITIES

• 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, DevOps 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.

ABOUT THE REQUIREMENTS

• 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, DevOps, SRE, data and application engineering teams.

PREFERRED QUALIFICATIONS

• 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 platforms.
• Experience working within large, global or federated enterprise environments.
• Experience establishing a Platform Engineering capability within an immature, evolving or greenfield cloud environment.
• Experience developing reusable cloud architecture patterns intended for adoption across multiple business units or organizations.
• Experience improving developer experience through internal developer platforms, self‑service infrastructure and automated provisioning.

ABOUT THE ROLE

This is a 6mo+ contract opportunity supporting a strategic enterprise AI, data and cloud platform engineering initiative; fully remote from anywhere in North American with a preference for Eastern time Zone.

This is a senior, highly hands‑on engineering position. The successful candidate will serve as one of the foundational members of an evolving Platform Engineering capability and will be expected to both define architecture and personally build the underlying platform components.

We are looking for a platform builder rather than a traditional Azure administrator: someone who has previously entered an immature cloud environment and helped transform it into a standardized, automated and code‑driven engineering platform.

AI DISCLOSURE

As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams.

ABOUT SYSTEMATIX

Systematix is a Canadian‑owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest‑caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.

Systematix. Solutions Focused. People Driven.