Senior Cloud DevOps Engineer

OneStream Software•,

13h•$131,000 - $170,000•Remote

About The Position

As a Cloud DevOps Engineer, you will be a critical member in building, automating, securing, and operating the cloud platforms that power OneStream’s global SaaS offerings. The Cloud Engineering team is focused on delivering scalable, reliable, and highly automated infrastructure solutions that improve platform resiliency, operational excellence, and engineering velocity across the organization. Your primary function will involve designing, implementing, and supporting cloud infrastructure, Infrastructure-as-Code solutions, CI/CD automation, and cloud-native services across Azure and Kubernetes environments. This role plays a key part in improving the scalability, security, reliability, and operational maturity of OneStream’s global SaaS platform. In this position, you will also collaborate closely with cross-functional teams including Engineering, Security, Compliance, and Cloud Operations. Your expertise will help drive modernization, operational improvements, and platform standardization while contributing to a culture of continuous learning, innovation, and engineering excellence.

Requirements

BS/BA in computer science, engineering, or technology-related field (or equivalent work experience).
8+ years of cloud infrastructure experience.
Advanced understanding of Infrastructure-As-Code concepts and tooling (Terraform, CloudFormation templates, Bicep or ARM templates) on Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Deep knowledge of Configuration Management/Orchestration utilities such as Ansible, PowerShell DSC, Chef, and Puppet.
Advanced understanding of cloud concepts including elasticity, security, and identity management.
Well versed familiarity with Agile Development methodologies utilizing Jira or Azure DevOps Boards.
Strong understanding of Azure Kubernetes Services (AKS) with container-based deployment skills or other platforms such as OpenShift, GKS, EKS.
Proficient knowledge in Software Development Lifecycles.
AI-focused Azure resources, such as API Management, Azure OpenAI, or Cognitive Services.
Experience collaborating with software development teams focused on implementing Large Language Model (LLM), Predictive AI, or other AI solutions using Azure cloud resources.
8+ years of hands-on experience with the following technologies, tools, and concepts:
Automating processes using PowerShell, Bash, CLI, REST APIs, python, ARM Templates or other scripting languages.
Comfortable leveraging source control tools such as Git, BitBucket, or GitHub.
Knowledge of container orchestration platforms such as Kubernetes, OpenShift, AKS, GKS or helm.
Microsoft Azure.
Microsoft Windows 11, Windows Server, IIS, Microsoft SQL Server, Entra ID.

Nice To Haves

Experience working for a cloud service provider (CSP), managed service provider (MSP), or SaaS provider.
8+ years of relevant Azure experience deploying and managing, leveraging Infrastructure-as-Code (IAC) concepts.
Experience supporting cloud-native applications and containerized workloads on Kubernetes platforms such as AKS, OpenShift, GKE, or EKS.
Debian, Ubuntu, or other flavors of the Linux operating systems.
Any certifications such as Microsoft Certified: Azure Administrator Associate (AZ-103, AZ-104), Azure Solutions Architect Expert (AZ-300, AZ-301), Azure DevOps Engineer Expert (AZ-400), Certified Kubernetes Administrator (CKE), AI-900 / AI-901 - Azure AI Fundamentals, Azure AI Engineer Associate, Azure Network Engineer Associate).
Microsoft Cloud Adoption Framework (CAF).

Responsibilities

Develop and maintain Infrastructure-as-Code such as Terraform, PowerShell, ARM, Bicep, Bash and YAML languages.
Deliver high-quality implementations in a timely manner.
Design and maintain CI/CD pipelines supporting secure, reliable and repeatable deployments.
Update technical documentation, workflows, and knowledge base articles.
Build knowledge in focused areas of the OneStream platform and deployment stack.
Participate in collaborative engineering, peer reviews, and knowledge sharing initiatives.
Collaborate with other teams to define, estimate, and implement requirements for new automations or services needed for development.
Apply software engineering best practices to infrastructure and automation development.
Optimize cloud environments for scalability, reliability, and cost efficiency.
Participate in troubleshooting and resolution of complex production issues across cloud platforms and services.
Work with Compliance and Security teams to ensure compliance with required controls.