Senior Cloud Infrastructure Engineer

Lighthouse

. Lead the design and implementation of complex Azure infrastructure solutions .

Posted 10/31/2026full-timeRemote • United StatesSenior💰 $118,790 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in Azure infrastructure, security, and automation, with a strong focus on Infrastructure as Code and Kubernetes administration. Proven ability to lead incident response efforts, mentor engineering teams, and drive continuous improvement initiatives in cloud environments.

Highest-signal resume keywords

Azure Infrastructure ExpertiseInfrastructure As Code (Terraform, ARM, Bicep)Kubernetes AdministrationCI/CD WorkflowsAI-Assisted Engineering Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Azure SecurityNetworkingAutomation ScriptingObservability Data AnalysisIncident ResponseCloud AI Services IntegrationCost ManagementMonitoringScalingDistributed Application Hosting

Soft Skills

LeadershipCommunicationMentoringCollaborationAgile Team Participation

Tools & Technologies

TerraformARMBicepKubernetesCI/CD PipelinesAI-Assisted ToolsOperational ToolingMicroservices ArchitecturesAutomation Best PracticesObservability Practices

Certifications & Qualifications

Microsoft Certified: Azure Solutions Architect ExpertCertified Kubernetes Administrator (CKA)

Industry Keywords

Infrastructure AutomationCloud EngineeringDevOps CultureResponsible AI PracticesAgile Leadership

Tech Stack

Tools & technologies

AzureCloudKubernetesMicroservicesTerraform

About the role

Key responsibilities & impact

Lead the design and implementation of complex Azure infrastructure solutions
Ensure scalability, security, reliability, and cost efficiency of cloud infrastructure
Champion Infrastructure as Code and automation across all environments
Establish infrastructure automation best practices and standards
Architect, configure, and optimize Kubernetes clusters for high availability, security, and performance
Collaborate with cross-functional teams supporting microservices architectures and application modernization
Build and improve CI/CD pipelines, operational tooling, and observability practices
Leverage AI-assisted tools for infrastructure design, code authoring, documentation, troubleshooting, and knowledge sharing with human review
Design governed patterns for AI services in infrastructure workflows, including identity, access control, data protection, auditability, and cost management
Apply AI- and machine-learning-enabled observability to identify anomalies, correlate signals, prioritize incidents, and improve root-cause analysis
Evaluate AI-enabled automation opportunities and implement measurable improvements to reliability, engineering productivity, and operational response
Lead incident response efforts and conduct post-mortems
Drive continuous improvement initiatives
Mentor associate and regular engineers on cloud tools, AI-enabled workflows, troubleshooting, and responsible engineering practices
Participate in agile leadership activities, including story grooming and technical reviews

Requirements

What you’ll need

Advanced expertise with Azure infrastructure, security, networking, and automation
Expertise in Infrastructure as Code, including Terraform, ARM, and Bicep
Expertise with CI/CD workflows
In-depth knowledge of Kubernetes administration, scaling, and monitoring
Strong background supporting large-scale, distributed application hosting
Proficiency in scripting and automation in multiple languages
Practical experience using AI-assisted engineering tools
Understanding of responsible AI practices, including data handling, security, privacy, model limitations, human-in-the-loop review, and auditability
Experience integrating or operating cloud AI services and API-based automation
Knowledge of least-privilege access, secret management, monitoring, and cost controls
Ability to assess AI-generated technical output through testing and peer review
Experience applying observability data, automation, and AI-assisted analysis to incident detection, response, and post-incident improvement
Experience working within agile teams and influencing DevOps culture
Excellent leadership, communication, and mentoring skills
B.S. in Computer Science, Information Technology, Engineering, or a related field is required
Microsoft Certified: Azure Solutions Architect Expert
Certified Kubernetes Administrator (CKA)
5–8 years of hands-on experience in cloud infrastructure engineering
Demonstrated experience implementing automation and operational improvements in production cloud environments
Experience with AI-enabled engineering or cloud AI services is preferred
Ability to work in a typical office environment at a desk or computer table
Ability to use a computer, communicate by telephone, and read printed material
Ability to be on call periodically and work evenings and weekends when required

Benefits

Comp & perks

Medical, dental, and vision insurance
401k with company match
Company-paid Life & AD&D insurance
Company-paid short- and long-term disability
Telemedicine
Wellness plans
Flexible PTO program
Paid volunteer days
Voluntary accident, hospitalization, and critical illness insurance plans
Pet insurance
Annual bonus or incentive program
On-call and outside-normal-hours compensation eligibility may apply