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Temporary Azure Infrastructure Engineer Jobs in Colorado

STACK Infrastructure

AI Platform Operations Manager

Denver, CO · On-site

$54.25 - $74.25/hr

The DevOps Engineer, AI Platform is responsible for automating, deploying, and operating the infrastructure and delivery pipelines that support STACK's enterprise AI platform on Azure. This is a ...

Infleqtion

Cloud Infrastructure Engineer (IT)

Louisville, CO · Hybrid

$58.25 - $77.75/hr

This role is responsible for the engineering, administration, and ongoing expansion of our Microsoft Azure infrastructure while supporting our hybrid on-premises and cloud environment. Working ...

Infleqtion

Cloud Infrastructure Engineer (IT)

Louisville, CO · On-site

$58.25 - $77.75/hr

This role is responsible for the engineering, administration, and ongoing expansion of our Microsoft Azure infrastructure while supporting our hybrid on-premises and cloud environment. Working ...

Infleqtion

Cloud Infrastructure Engineer (IT)

Louisville, CO · On-site

$58.25 - $77.75/hr

This role is responsible for the engineering, administration, and ongoing expansion of our Microsoft Azure infrastructure while supporting our hybrid on-premises and cloud environment. Working ...

Axos Bank

Sr Systems Engineer - Azure

Centennial, CO · Hybrid

$120K - $150K/yr

Azure Infrastructure * Design, deploy, and maintain Azure subscription architecture including ... Serve as primary backup to the Sr. Engineer and Technology Architect for Azure decisions ...

CoorsTek, Inc.

Cloud Engineer II

Golden, CO · On-site

$57.50 - $77/hr

Job Title Cloud Engineer II The Cloud Engineer II will design, implement, and support cloud-native ... Design, implement, and maintain scalable Azure-based infrastructure and data platform components.

CoorsTek

Cloud Engineer II

Golden, CO

$57.50 - $77/hr

Job Title Cloud Engineer II The Cloud Engineer II will design, implement, and support cloud-native ... Design, implement, and maintain scalable Azure-based infrastructure and data platform components.

Arrow Electronics

Infrastructure Engineer II

Denver, CO · On-site

$110K - $145K/yr

Infrastructure Engineer II The Infrastructure Engineer under moderate supervision is responsible ... with Azure Conditional Access/MFA. * Participate in the process of planning, engineering, and ...

Vantor

Sr. Platform Infrastructure Engineer

Westminster, CO · On-site

$109K - $148K/yr

AWS, Azure, sovereign cloud, hybrid cloud * GitHub Actions, GitLab CI, Jenkins, ArgoCD, Artifactory ... Infrastructure security and vulnerability management * Platform engineering and SRE practices * AI ...

Atom Computing

Senior Infrastructure Engineer

Boulder, CO · On-site

$140K - $175K/yr

Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP ... Building and scaling a developer operations team, including workflow automation, access management ...

Atom Computing

Senior Infrastructure Engineer

Boulder, CO · On-site

$140K - $175K/yr

Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP ... Building and scaling a developer operations team, including workflow automation, access management ...

Atom Computing

Senior Infrastructure Engineer

Boulder, CO · On-site

$140K - $175K/yr

Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP ... Building and scaling a developer operations team, including workflow automation, access management ...

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Temporary Azure Infrastructure Engineer information

What does a Temporary Azure Infrastructure Engineer do?

A Temporary Azure Infrastructure Engineer is responsible for designing, implementing, and maintaining cloud infrastructure using Microsoft Azure, typically on a short-term or contract basis. They help organizations migrate workloads to Azure, manage virtual networks, configure storage solutions, and ensure systems are secure and scalable. Their role often includes troubleshooting issues, optimizing cloud resources, and collaborating with other IT professionals to support business needs. They are expected to have a strong understanding of Azure services, automation tools, and cloud security best practices.

What are the key skills and qualifications needed to thrive as a Temporary Azure Infrastructure Engineer?

To thrive as a Temporary Azure Infrastructure Engineer, you need expertise in cloud computing, infrastructure design, and network security, usually supported by a degree in IT or computer science and experience with Microsoft Azure. Familiarity with Azure Resource Manager, PowerShell scripting, and relevant certifications like Microsoft Certified: Azure Administrator Associate are typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this role. These skills and qualifications are crucial to efficiently deploy, manage, and troubleshoot cloud infrastructure to meet dynamic business demands.

What are some common challenges faced by Temporary Azure Infrastructure Engineers, and how can they be addressed?

Temporary Azure Infrastructure Engineers often face challenges such as quickly adapting to existing cloud environments and understanding project-specific requirements with limited onboarding time. To succeed, it's important to efficiently review documentation, ask clarifying questions, and leverage Azure's native tools for rapid environment assessment. Collaboration with full-time team members and effective communication are key to ensuring smooth integration and successful project delivery within the contract period.

What is the difference between Temporary Azure Infrastructure Engineer vs Cloud Infrastructure Technician?

AspectTemporary Azure Infrastructure EngineerCloud Infrastructure Technician
CertificationsAzure certifications (e.g., AZ-104)General cloud certifications (e.g., CompTIA Cloud+)
Work EnvironmentAzure cloud platforms, project-based rolesVarious cloud environments, on-premises and cloud
Industry UsageIT, cloud service providers, enterprise ITIT support, network management, cloud services
Search IntentRoles focused on Azure infrastructure, temporary positionsGeneral cloud infrastructure roles, often permanent or contract

The Temporary Azure Infrastructure Engineer specializes in deploying and managing Azure cloud environments on a temporary basis, often requiring specific Azure certifications. In contrast, a Cloud Infrastructure Technician has a broader focus on various cloud platforms and may work in different environments. Both roles are essential in cloud management but differ in scope and certification requirements.

What are the most commonly searched types of Azure Infrastructure Engineer jobs in Colorado?

The most popular types of Azure Infrastructure Engineer jobs in Colorado are:

What cities in Colorado are hiring for Temporary Azure Infrastructure Engineer jobs?

Cities in Colorado with the most Temporary Azure Infrastructure Engineer job openings:

Temporary Azure Infrastructure Engineer jobs near you

AI Platform Operations Manager

STACK Infrastructure

Denver, CO • On-site

$54.25 - $74.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

THE COMPANY:
STACK INFRASTRUCTURE (STACK) provides digital infrastructure to scale the world's most innovative companies. We are an award-winning industry leader in building, owning, and operating highly efficient, cost-effective wholesale, colocation, and cloud data centers. Each of our national facilities meets or exceeds the highest industry standards in all operational categories of availability, security, connectivity, and physical resilience.
STACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.
THE POSITION:
The DevOps Engineer, AI Platform is responsible for automating, deploying, and operating the infrastructure and delivery pipelines that support STACK's enterprise AI platform on Azure. This is a hands-on engineering role focused on build and run - not oversight.
Reporting to Head of AI, Enterprise AI & Data Strategy org this individual owns the infrastructure-as-code, CI/CD, containerization, observability, and release automation that allow AI engineers and enterprise application teams to ship agentic AI solutions, RAG pipelines, and integration services reliably and repeatably. The role sits at the intersection of cloud infrastructure, platform engineering, and MLOps - turning platform architecture into automated, governed, observable, and cost-efficient environments that teams across the organization build on.
KEY RESPONSIBILITIES
Infrastructure Automation & Infrastructure as Code
  • Build, maintain, and version infrastructure-as-code modules for Azure environments using Terraform, Bicep, or ARM, including compute, networking, storage, identity, and AI platform resources.
  • Automate provisioning of AI platform components - Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Cosmos DB, ADLS Gen2, and Databricks - as reusable, parameterized deployment patterns.
  • Maintain environment parity across development, test, and production, including configuration management, drift detection, and remediation.
  • Implement and enforce tagging, naming, and resource organization standards that support governance, chargeback, and lifecycle management.
  • Automate routine platform operations - patching, certificate rotation, key and secret rotation, backup validation, and disaster recovery testing.

CI/CD & Release Engineering
  • Design, build, and operate CI/CD pipelines in Azure DevOps or GitHub Actions for application code, infrastructure code, container images, and AI/agent deployments.
  • Implement automated build, test, security scanning, artifact management, and promotion gates across environments.
  • Establish branching strategies, code review standards, and release management practices in partnership with AI engineering and enterprise application teams.
  • Build deployment automation for agentic AI services, MCP (Model Context Protocol) servers, and integration workloads running on Azure Container Apps and Azure Kubernetes Service (AKS).
  • Support model and prompt release workflows - versioning, staged rollout, evaluation gates, and rollback procedures for LLM-based applications.

Container Platform & AI Workload Operations
  • Operate and tune AKS and Azure Container Apps, including cluster upgrades, node pool sizing, autoscaling, ingress, networking, and workload isolation.
  • Build and maintain container images, base image standards, and registry governance in Azure Container Registry.
  • Manage compute scheduling and scaling for AI workloads, including GPU-backed and inference-heavy workloads where required.
  • Implement resiliency patterns - health probes, retries, throttling, quota management, and failover - for AI endpoints and integration services.

Observability, Reliability & Incident Response
  • Instrument platform and AI services with logging, metrics, tracing, and alerting using Azure Monitor, Log Analytics, Application Insights, and equivalent open-source tooling.
  • Build dashboards and service-level indicators covering platform availability, latency, throughput, error rates, token consumption, and model endpoint performance.
  • Participate in on-call rotation, lead incident triage and resolution for platform issues, and drive root cause analysis and corrective actions.
  • Develop and maintain runbooks, operational documentation, and automated remediation for recurring issues.

Security, Governance & Cost Optimization
  • Implement DevSecOps practices - secrets management in Azure Key Vault, managed identity usage, least-privilege access, dependency and container vulnerability scanning, and policy-as-code.
  • Partner with Information Security to ensure pipelines and environments meet enterprise security, data residency, and compliance requirements.
  • Support Azure FinOps practices through cost visibility, rightsizing, reserved capacity, and automated controls on non-production and idle resources.
  • Maintain audit trails and change records for infrastructure and release activity.

Delivery & Cross-Functional Collaboration
  • Work directly with AI engineers, data engineers, and enterprise application teams to remove deployment friction and improve time-to-production for AI solutions.
  • Translate platform architecture and standards into automated, self-service capabilities that teams can consume without deep infrastructure knowledge.
  • Contribute to platform engineering standards, reference implementations, and internal documentation.
  • Provide technical escalation support for build, deployment, and environment issues.

THE DETAILS:
  • Location: Denver, CO
  • Travel: <10%
  • Benefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs
  • Must be eligible to work in the United States
  • Must pass comprehensive background and drug screening

MUST-HAVE QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience.
  • 5+ years of hands-on experience in DevOps, site reliability engineering, or platform engineering roles with a strong delivery track record.
  • Strong proficiency in Infrastructure as Code - Terraform, Bicep, or ARM - including module design, state management, and reusable patterns.
  • Proven experience building and operating CI/CD pipelines in Azure DevOps or GitHub Actions.
  • Hands-on experience with containerization and orchestration - Docker, Azure Kubernetes Service (AKS), and Azure Container Apps or equivalent.
  • Solid working knowledge of Azure core services - compute, networking (VNet, NSG, Private Endpoints), storage, identity (Entra ID), and Key Vault.
  • Strong scripting and automation skills in Python, PowerShell, or Bash.
  • Experience with monitoring and observability tooling - Azure Monitor, Log Analytics, Application Insights, Prometheus, or Grafana.
  • Working knowledge of Git-based workflows, code review practices, and artifact/registry management.
  • Demonstrated ability to troubleshoot production issues across infrastructure, network, and application layers.

PREFERRED QUALIFICATIONS:
  • Microsoft Certified: DevOps Engineer Expert (AZ-400), Azure Administrator (AZ-104), or Certified Kubernetes Administrator (CKA).
  • Experience deploying and operating AI/ML workloads - model endpoints, RAG pipelines, vector databases, or agentic services in production.
  • Familiarity with MLOps tooling and practices - Azure Machine Learning, MLflow, Databricks, or equivalent model lifecycle platforms.
  • Experience deploying MCP (Model Context Protocol) servers or similar integration services connecting AI agents to enterprise systems.
  • Exposure to agentic AI frameworks such as Semantic Kernel, LangGraph, or AutoGen from a deployment and operations perspective.
  • Experience with GPU compute provisioning, quota management, and inference cost optimization.
  • Knowledge of FinOps frameworks and Azure cost optimization practices.
  • Experience integrating with enterprise systems such as Microsoft 365, Freshworks ITSM, Workday, NetSuite, or Procore.
  • Experience in data center, hyperscale, or infrastructure-intensive industry environments.

Compensation Range:
$128,260.00 - $146,017.59
THIS MIGHT BE RIGHT FOR YOU IF:
  • You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.
  • You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.
  • You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.
  • You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.

WHY STACK?
  • We offer a competitive compensation package with strong benefits, including medical, dental, and vision insurance, a 401K program, flexible spending accounts - even a cell phone subsidy.
  • We foster a culture of appreciation, including peer-to-peer recognition and rewards programs.
  • Fun is part of our DNA, with events, game nights, happy hours, and barbecues.
  • We're growing - this is a great time to join and make an impact!

STACK is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law
Note to external agencies: We are not accepting any blind submissions or resumes/cvs from recruitment agencies. Any candidates sent to STACK Infrastructure, Inc. will not be accepted or considered as a submission without a signed agreement in place. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of STACK Infrastructure, Inc.

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