[Remote] DevOps Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Vantage Point Consulting Inc. is seeking a DevOps Platform Engineer to enable scalable and secure digital platforms that support design automation and data workflows. The role involves managing cloud-native infrastructure, developing Infrastructure as Code, and optimizing CI/CD pipelines for global deployment.
Responsibilities
- Design, build, and manage cloud-native infrastructure supporting Speckle, Databricks, and associated services
- Develop and maintain Infrastructure as Code (IaC) using Terraform to ensure consistent, repeatable, and governed deployments
- Implement and manage Kubernetes (K8s) environments, including cluster provisioning, scaling, monitoring, and resilience
- Build and optimise CI/CD pipelines to support rapid, reliable deployment of platform services and engineering applications
- Develop and maintain YAML-based configuration frameworks for infrastructure, pipelines, and platform services
- Ensure security, compliance, and governance are embedded across all infrastructure and deployment processes
- Collaborate with digital engineering teams to support design automation workflows, APIs, and platform integrations
- Enable environment separation and scalability (e.g. multi-region architectures) to support global programme delivery
- Monitor system performance and reliability, implementing observability solutions (logging, metrics, alerting)
- Work closely with data engineers and platform teams to integrate Speckle & Databricks workflows and data pipelines into the broader ecosystem
- Contribute to platform documentation, standards, and best practices
Skills
- Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience)
- 5+ years of experience in DevOps, platform engineering, or cloud infrastructure roles
- Strong hands-on experience with Terraform (advanced level, modular design, state management)
- Kubernetes (AKS preferred)
- Azure cloud platform (networking, identity, security, storage)
- CI/CD tools (e.g., Azure DevOps, GitHub Actions)
- Proficiency in YAML configuration and pipeline design
- Containerisation (Docker) and microservices architectures
- Infrastructure monitoring and observability tools
- Experience working with Databricks or similar data platforms
- API-driven platforms and distributed systems
- Platform engineering concepts (internal developer platforms, self-service infrastructure)
- Git-based workflows and version control best practices
- Experience with Speckle or similar engineering/data platforms
- Exposure to design engineering workflows, BIM, or digital engineering environments
- Knowledge of data platform integration patterns (event-driven, streaming, batch pipelines)
- Experience working in large-scale infrastructure or engineering programmes
Company Overview
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