Senior Cloud DevOps Engineer

About the role

The Cloud DevOps Engineer will play a pivotal role in the design, implementation, and support of cloud infrastructure, CI/CD pipelines, and cloud-native services across Azure and Kubernetes environments. This role requires expertise in modernizing, optimizing, and ensuring the operational maturity of OneStream's global SaaS platform.

Responsibilities

• Develop and maintain Infrastructure-as-Code using 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.
• Collaborate with cross-functional teams including Engineering, Security, Compliance, and Cloud Operations.
• Collaborate with other teams to define, estimate, and implement requirements for new automations or services needed for 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.

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.
• Experience with Azure AI 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.

Qualifications

• 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.
• 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.

Skills and Abilities

• Deal well with ambiguous/undefined problems.
• Ability to self-motivate and work independently.
• Strong organizational and prioritization skills.
• Ability to find and apply effective solutions to emerging problems and challenges.
• Strong attention to detail.
• Ability to estimate your efforts.
• Ability to get up to speed quickly with modern technologies and services.
• Work well in a fast-paced environment.
• Ability to multitask on a variety of projects.
• Comfortable communicating with all levels of management.

Benefits

• Excellent Medical Plan.
• Dental & Vision Insurance.
• Life Insurance.
• Short & Long Term Disability.
• Vacation Time.
• Paid Holidays.
• Professional Development.
• Retail Plan.