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# Senior Cloud Engineer

- **Company:** Kiewit
- **Location:** Lincoln, NE, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Airflow, Data Analysis, Application Performance Management, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cloud Storage, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Relational Databases, DevOps, Github, Graph Database, Python (Programming Language), Key Management, PostgreSQL, Log Analysis, Windows PowerShell, Role-Based Access Control, Azure Data Lake, Data Logging, Git, Data Lakes, Gitlab-ci, Kubernetes, Deployment Automation, Bicep, Azure AKS, Terraform, Azure Resource Manager, Docker, Container Apps, Key Vault, Jenkins
- **Published:** October 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3445779563&tx=KL7777FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

The ideal candidate has strong depth in Azure infrastructure, AKS, containers, PostgreSQL, storage services, CI/CD, and cloud security. They should be comfortable turning repeatable patterns into reliable automation and helping teams operate cloud platforms safely at enterprise scale., ·5+ years of experience in cloud engineering, DevOps, platform engineering, infrastructure, or systems roles

·Hands-on Azure experience in production or enterprise environments

·Strong infrastructure as code experience; Bicep preferred, Terraform highly valued

·Experience supporting Kubernetes; AKS preferred

·Experience with containers, Docker, container registries, and deployment automation

·Experience with PostgreSQL or similar relational databases

·Experience with cloud storage, data lake, or hierarchical storage patterns

·Solid understanding of cloud security, identity, networking, monitoring, and least-privilege access

·Experience with CI/CD tools such as Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or similar

·Scripting experience with PowerShell, Bash, Python, or similar

·Strong troubleshooting, documentation, and communication skills, ·Experience with Helm, Dagster or equivalent orchestrator, Flux, GitOps, or Kubernetes release tooling

·Experience supporting data engineering, analytics, AI/ML, vector database, or graph database platforms

·Experience with Azure Policy, Key Vault, Defender for Cloud, Monitor, Log Analytics, or Application Insights

·Familiarity with cloud governance, tagging, cost controls, landing zones, and enterprise security standards

·Azure, DevOps, or Kubernetes certifications are a plus, * Regular, reliable attendance

 * Work productively and meet deadlines timely
 * Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
 * Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
 * Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.

## Description

Kiewit is seeking a hands-on Cloud Infrastructure Engineer to help build, automate, and support Azure cloud environments for modern application, data, and AI workloads. This role will focus on infrastructure as code, Kubernetes, secure cloud resource management, and modern release practices., ·Build, configure, and maintain Azure resources across managed resource groups

·Develop reusable infrastructure as code using Bicep, Terraform, or similar tools

·Support Azure Kubernetes Service clusters, workloads, access, scaling, monitoring, and troubleshooting

·Manage Azure PostgreSQL, ADLS Gen2 / hierarchical storage accounts, container apps, jobs, registries, and related services

·Help evaluate and host emerging platform components such as vector databases, graph databases, and AI/data infrastructure tools

·Implement secure-by-default cloud patterns, including RBAC, managed identities, private networking, secrets management, logging, and encryption

·Partner with application, data, platform, and security teams to design scalable and maintainable infrastructure

·Support Git-based release flows, CI/CD pipelines, automated deployments, environment promotion, and operational runbooks

·Monitor reliability, performance, cost, and security posture; identify and resolve issues proactively

·Document standards, deployment patterns, diagrams, troubleshooting steps, and support procedures