Note: The job is a remote job and is open to candidates in USA. Systematix is a global consulting and resourcing firm delivering technology solutions across North America and the United Kingdom. The company is seeking a Senior Cloud Platform Engineer to design and build an Azure-based cloud platform supporting enterprise AI, machine learning, data science, and scientific computing workloads. The role focuses on Infrastructure as Code, automation, reusable platform components, self-service capabilities, and hands-on platform engineering leadership.
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
Skills
- • 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
- • 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
Benefits
- 100% remote, in the Eastern time zone
- 6mo+ contract opportunity
Company Overview