Senior Cloud Engineer
Kiewit· enterprise· Construction / Engineering· Oct 13, 2026 · 15d ago
Omaha, NE, US
In office
Full-time
Senior
$121K–$180K est.
5+ years exp
Job description
Requisition ID: 182705
Job Level: Senior Level
Home District/Group: DHO Kiewit Data Services
Department: Data Services
Market: Corporate Home Office
Employment Type: Full Time
Position Overview
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.
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.
District Overview
Kiewit Data Services’ (KDS) mission is to make Kiewit the premier data-driven organization in our industry. To accomplish this, our projects and districts need to have the right quality of data and the right level of analysis available to them at the right time. KDS is a cross functional organization with employees that have expertise in data, technology, support, and operations backgrounds. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science. We are intent on delivering a world class user experience to Kiewit employees and believe in the power of analytics to aid us in this mission.
Location
Omaha / La Vista, NE / Remote
Responsibilities
·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
Qualifications
·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
Preferred Qualifications:
·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
Other Requirements:
• 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.
Base Compensation: $150,000/yr - $186,000/yr
(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)
We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
Equal Opportunity Employer, including disability and protected veteran status.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
azureaikubernetesci/cddockerpythonml
- Platform
- successfactors
- Effort
- medium
Benefits
Benefits detected in the listing.
Dental
Vision
Paid Time Off
Wellness