[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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