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Senior Platform Engineer

Chartis · United States

External listingfull-time2 months ago

About The Role

Join our software development team as a Senior Platform Engineer, where you will drive the implementation of scalable Infrastructure as Code (IaC) platforms and reliable cloud-native systems. You will be a hands-on technical leader, serving as a subject matter expert for reliable, scalable infrastructure and solving complicated cross-team issues in an agile environment. Your responsibilities will include designing and developing a robust IaC platform for Azure, implementing and managing cloud-native GitOps CI/CD pipelines, and championing best practices for observability, availability, latency, scalability, and efficiency of distributed systems.

  • Design and develop a robust Infrastructure as Code (IaC) platform for Azure using Terraform, ensuring scalability and maintainability.
  • Implement and manage cloud-native GitOps CI/CD pipelines using tools such as Argo CD or Flux CD to automate infrastructure delivery.
  • Champion best practices for observability, availability, latency, scalability, and efficiency of distributed systems, including SLO definition, error budget management, and capacity planning.
  • Education: Bachelor’s degree in computer science, Software Engineering, Computer Engineering, Mathematics, or a related scientific/engineering field
  • GitOps: Proven track record of implementing cloud-native GitOps CI/CD workflows using Argo CD, Flux CD, or similar tools
  • Advanced Networking: 5+ years of hands-on experience designing and operating cloud networking in Azure, including VNET architecture, Network Security Groups, private endpoints, and AKS-integrated networking with demonstrable experience troubleshooting and resolving production network issues
  • Communication: Proven ability to translate complex technical decisions and engineering tradeoffs into business risk and impact for non-technical stakeholders, and to represent platform constraints clearly in cross-functional planning
  • AI Platform Engineering: Demonstrated familiarity with deploying AI PaaS solutions such as Azure AI Search and Foundry
  • Infrastructure as Code: Deep technical proficiency with Azure Cloud and expert-level knowledge of Terraform
  • Experience: 5+ years of relevant industry experience shipping world-class products as part of a highly functional software development team
  • Kubernetes: 3+ years’ experience administering managed or self-hosted Kubernetes clusters, including deep knowledge of Kubernetes internals and broad awareness of the CNCF ecosystem

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