Cloud Engineer

KIK Consumer Products•United States,

1d•$130,000 - $140,000

About The Position

The Cloud Engineer designs, builds, automates, and operates KIK’s Azure-based cloud platform supporting enterprise infrastructure, data, analytics, and digital transformation initiatives. The role partners with Infrastructure, Security, Data Engineering, Architecture, and Application teams to create secure, scalable, automated cloud platforms for enterprise applications, data pipelines, Lakehouse architectures, and enterprise data services. It emphasizes Azure infrastructure, DevOps, Infrastructure as Code, containerization, Kubernetes, platform reliability, security, and CI/CD practices using GitHub, Terraform, and Azure-native services. As a secondary responsibility, the role supports Microsoft 365 services, including Exchange Online, Teams, and SharePoint. It handles user administration, license management, and basic security policies, combining Azure IaaS/PaaS expertise with practical Microsoft 365 administration in a hybrid cloud environment.

Requirements

At least 5 years of Cloud Infrastructure or DevOps experience.
Strong Azure infrastructure expertise, including virtual machines, networking, storage, security, identity, and monitoring.
Experience automating infrastructure provisioning using Terraform, Bicep, ARM, or similar Infrastructure as Code technologies.
Experience building and supporting GitHub Actions CI/CD pipelines.
Experience automating deployment and configuration of cloud infrastructure, networking, and security services.
Strong Docker and Kubernetes experience; AKS is preferred.
Python and PowerShell scripting experience.
Experience implementing monitoring, logging, observability, and production support practices.
Experience supporting Azure Data Lake, Databricks, or Lakehouse architectures.
Strong troubleshooting and incident response experience in production cloud environments.

Nice To Haves

Experience supporting enterprise data platforms and analytics environments.
Experience with Databricks, Azure Data Lake, or modern Lakehouse architectures.
GitOps experience using ArgoCD, FluxCD, or similar technologies.
Observability experience using Prometheus, Grafana, Azure Monitor, or similar platforms.
Experience with Azure security, governance, and compliance best practices.

Responsibilities

Design, deploy, and operate Azure cloud infrastructure for enterprise applications, data platforms, analytics, and business-critical workloads.
Build secure and scalable cloud environments using Azure networking, storage, identity, monitoring, and security services.
Implement Infrastructure as Code using Terraform, Bicep, and Git-based deployment practices.
Design and support Azure networking, including VNets, NSGs, Private Endpoints, VPNs, Load Balancers, and Azure RBAC.
Partner with infrastructure, security, and application teams to modernize and automate cloud operations and improve platform reliability, scalability, and security.
Oversee Exchange Online mail flow, SPF/DKIM/DMARC configuration, retention, and distribution-list lifecycle; administer Teams, SharePoint, OneDrive, Intune, Viva, and license assignments; and deploy E5 features such as Defender for Office 365.
Operate hybrid Entra ID environments, maintaining Azure AD Connect or Cloud Sync, enforcing Conditional Access and MFA, using PIM, and monitoring Identity Protection alerts.
Build and maintain GitHub Actions CI/CD pipelines for infrastructure, platform, and data solution deployments.
Automate provisioning and configuration of Azure resources, including virtual machines, networking, storage, identity, and security services.
Implement Configuration-as-Code practices, maintaining environment settings, application configurations, and deployment parameters in YAML or configuration files rather than hard-coded solutions.
Develop Python and PowerShell automation for platform operations, monitoring, compliance validation, and deployments.
Support environment promotion across Development, QA, UAT, and Production.
Deploy and support containerized workloads using Docker and Azure Kubernetes Service (AKS).
Manage container registries, Helm deployments, and Kubernetes-based application platforms.
Troubleshoot production platform issues across infrastructure, Kubernetes, networking, and application layers.
Implement observability solutions using Azure Monitor, Log Analytics, Prometheus, Grafana, and related tools.
Support Azure-based Lakehouse architectures, including Azure Data Lake and Databricks environments.
Enable secure and scalable access to enterprise data for analytics, reporting, and operational workloads.
Collaborate with Data Engineering teams to support data platform services and data integration initiatives.
Implement platform capabilities that improve data accessibility, reliability, governance, and operational efficiency.