Location: United States | Remote / Flexible
Industry: Cloud Infrastructure, Enterprise Technology, AI Platforms & Cybersecurity
Compensation: $215,000 – $278,000
We are seeking an accomplished Senior Cloud Engineer to design, automate, secure, and continuously improve the cloud foundations supporting business-critical applications, digital products, data platforms, and emerging AI workloads.
This is not a traditional infrastructure administration position.
The Senior Cloud Engineer will work at the intersection of cloud architecture, platform engineering, infrastructure automation, Kubernetes, reliability engineering, observability, security, networking, and developer enablement.
Our technology environment is evolving toward increasingly automated, resilient, and self-service infrastructure. Engineering teams should be able to provision environments safely, deploy applications consistently, understand system health immediately, and scale services without infrastructure becoming an operational bottleneck.
You will help build that foundation.
Depending on the environment, you may work across AWS, Microsoft Azure, or Google Cloud Platform, designing reusable infrastructure patterns and engineering services that can support multiple development teams and workloads.
You will automate infrastructure through code, strengthen Kubernetes and container platforms, improve cloud security controls, build observability into the platform, reduce operational toil, and help engineering teams move from manually managed infrastructure toward repeatable platform capabilities.
The role requires more than knowledge of individual cloud services.
We are looking for an engineer who understands how compute, networking, identity, storage, containers, data, security, automation, observability, and cost interact as one production system.
Success will be measured by whether the cloud platform becomes more reliable, more secure, easier to operate, easier for developers to consume, and more economically efficient as the organization scales.
Design and operate secure, scalable, highly available cloud infrastructure.
Develop architecture patterns for production applications and enterprise platforms.
Engineer solutions across compute, networking, storage, identity, databases, and managed cloud services.
Support multi-account, multi-subscription, or multi-project cloud environments.
Design infrastructure for resiliency across availability zones and regions where required.
Participate in cloud architecture and technical design reviews.
Evaluate new cloud services against security, reliability, cost, and operational requirements.
Build reusable infrastructure modules using Terraform, OpenTofu, Pulumi, CloudFormation, Bicep, or comparable technologies.
Replace manual infrastructure configuration with version-controlled automation.
Develop standardized infrastructure patterns.
Implement testing and validation for infrastructure changes.
Integrate infrastructure provisioning into CI/CD workflows.
Establish appropriate state management and deployment controls.
Improve consistency across development, staging, and production environments.
Design and operate containerized environments using Kubernetes.
Support platforms such as EKS, AKS, or GKE.
Improve cluster security, scalability, networking, and reliability.
Implement workload autoscaling and resource-management strategies.
Support Helm-based application deployment.
Develop standardized deployment patterns for engineering teams.
Improve container image and runtime security.
Troubleshoot complex distributed application and cluster issues.
Build reusable cloud capabilities that reduce infrastructure complexity for application teams.
Develop self-service infrastructure and deployment workflows.
Create paved-road patterns for common engineering use cases.
Improve environment provisioning and developer onboarding.
Partner with software engineers to identify infrastructure friction.
Develop internal documentation, templates, and automation.
Reduce dependency on manual cloud operations.
Engineer reliable continuous integration and deployment workflows.
Support technologies such as GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, Argo CD, or comparable platforms.
Implement automated testing and deployment controls.
Support GitOps operating models where appropriate.
Improve release reliability and rollback capabilities.
Reduce manual deployment activity.
Partner with development teams on progressive delivery strategies.
Apply security-by-design principles across cloud infrastructure.
Implement least-privilege IAM and role-based access controls.
Strengthen secrets and key-management practices.
Support encryption requirements for data at rest and in transit.
Partner with Security teams on vulnerability and configuration management.
Implement policy-as-code and automated compliance controls where appropriate.
Support audit and regulatory requirements.
Participate in cloud threat-modeling and security reviews.
Design infrastructure around measurable availability and resilience objectives.
Identify single points of failure.
Improve fault tolerance and recovery capabilities.
Support disaster recovery and business continuity engineering.
Participate in incident response for critical infrastructure events.
Conduct root-cause analysis and develop permanent corrective actions.
Reduce recurring operational failure through engineering and automation.
Support SLO/SLI-based reliability practices.
Build monitoring, logging, tracing, and alerting into cloud platforms.
Work with technologies such as Datadog, Grafana, Prometheus, OpenTelemetry, Splunk, CloudWatch, Azure Monitor, or comparable platforms.
Improve signal quality and reduce unnecessary alert noise.
Develop actionable infrastructure dashboards.
Support distributed tracing and application observability.
Improve engineers’ ability to diagnose production issues quickly.
Design and troubleshoot cloud networking environments.
Support VPC/VNet architecture, routing, DNS, load balancing, firewalls, and private connectivity.
Engineer secure connectivity between cloud, SaaS, data center, and partner environments.
Support hybrid and multi-cloud networking where required.
Diagnose complex application connectivity and latency issues.
Partner with Security and Network Engineering on segmentation strategies.
Analyze cloud utilization and infrastructure spending.
Identify over-provisioned or inefficient resources.
Implement rightsizing and scaling strategies.
Improve tagging and cost-allocation practices.
Evaluate reserved capacity, savings plans, and architectural alternatives.
Partner with Finance and Engineering leadership on cloud forecasting.
Balance cost optimization against reliability and performance requirements.
Support cloud infrastructure for data-intensive and AI workloads.
Partner with Data and AI teams on scalable compute and storage requirements.
Support GPU-enabled or specialized compute environments where required.
Evaluate infrastructure requirements for model training, inference, and AI services.
Establish secure deployment patterns for emerging AI workloads.
Ensure AI infrastructure follows enterprise security, reliability, and cost-governance standards.
7+ years of experience in cloud engineering, infrastructure engineering, DevOps, SRE, platform engineering, or related disciplines.
Deep hands-on experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
Strong Infrastructure as Code experience with Terraform/OpenTofu, Pulumi, CloudFormation, or comparable technologies.
Production experience with Kubernetes and containerized environments.
Strong understanding of cloud networking and distributed infrastructure.
Experience building or supporting CI/CD systems.
Proficiency in automation or scripting using Python, Go, Bash, PowerShell, or similar languages.
Strong understanding of IAM, secrets management, encryption, and cloud-security principles.
Experience implementing monitoring and observability.
Strong understanding of Linux systems.
Experience troubleshooting complex production infrastructure.
Familiarity with high-availability and disaster-recovery architectures.
Strong written technical documentation and communication capabilities.
Multi-cloud environments
Enterprise SaaS platforms
Platform engineering
GitOps and Argo CD
Service mesh technologies
OpenTelemetry
Policy as code
FinOps
Zero Trust architecture
SOC 2, ISO 27001, PCI DSS, HIPAA, or comparable environments
AI/ML infrastructure
GPU cloud infrastructure
Large-scale Kubernetes
Cloud migration and modernization
High-traffic distributed systems
Cloud certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect, CKA, CKS, or equivalent credentials are valued but not required where equivalent experience is demonstrated.
You understand infrastructure deeply enough to diagnose the underlying system rather than repeatedly treating symptoms.
If a process must be performed repeatedly, your instinct is to determine whether it can be safely automated.
You care about how infrastructure behaves after deployment—not simply whether provisioning succeeded.
You treat security as an engineering requirement rather than a final approval step.
You understand dependencies across applications, networks, cloud services, identity, data, and infrastructure.
You document decisions, automate repeatable work, and build systems that other engineers can operate confidently.
You prefer reliable, maintainable solutions over unnecessary technical complexity.
You can work effectively with Software Engineering, Security, Data, Architecture, Product, and Operations teams.
The Senior Cloud Engineer may contribute to strategic technology initiatives including:
Cloud modernization
Data-center migration
Platform engineering
Developer self-service
Kubernetes adoption
Infrastructure standardization
Multi-cloud strategy
DevSecOps transformation
Cloud security modernization
Disaster recovery
AI infrastructure
Data platform modernization
Cloud FinOps
Enterprise observability
Infrastructure automation
Reliability improvement
The role may also participate in architecture reviews and technology evaluations that influence the organization’s longer-term cloud roadmap.
Remote or flexible working arrangements may be available depending on organizational requirements.
Regular collaboration with distributed Engineering, Security, Architecture, Data, and Product teams.
Participation in an engineering on-call rotation may be required.
Occasional availability outside normal business hours may be necessary for critical production incidents, major releases, or infrastructure changes.
Periodic travel may be required for engineering planning or team meetings.
The environment includes production systems where reliability, security, and change-management discipline are essential.
Appropriate handling of confidential infrastructure, security, architecture, and customer information is required.
Primary Function: Cloud & Platform Engineering
Core Disciplines:
Cloud Architecture | AWS / Azure / GCP | Kubernetes | Infrastructure as Code | Terraform | Platform Engineering | DevOps | SRE | CI/CD | GitOps | Cloud Networking | DevSecOps | Observability | Automation | FinOps | AI Infrastructure
The anticipated compensation range for this position is:
$215,000 – $278,000 annually
Final compensation will consider cloud engineering depth, production scale, architecture experience, platform expertise, geographic considerations, and overall qualifications.
The broader total rewards package may include:
Annual performance incentives
Equity or long-term incentives where applicable
Comprehensive medical, dental, and vision coverage
Retirement savings with employer contributions
Generous paid time off and company holidays
Remote and flexible work options
Cloud certification and professional-development support
Technology and home-office resources
Conference and technical-learning opportunities
Wellness and family-support programs
The most interesting cloud engineering problems begin after an organization has already moved to the cloud.
The challenge becomes building infrastructure that can scale without becoming increasingly fragile, expensive, difficult to secure, or painful for developers to use.
That is where this role operates.
You will have the opportunity to influence how cloud infrastructure is architected, how engineering teams deploy software, how Kubernetes platforms evolve, how security controls are automated, how production systems are observed, and how emerging AI workloads are supported.
Rather than spending your time manually maintaining infrastructure, you will be encouraged to engineer away operational complexity.
Your work will connect:
Cloud Architecture → Infrastructure as Code → Platform Engineering → Security → Reliability → Developer Experience → Scale
For a senior engineer who enjoys building the infrastructure foundations that allow hundreds of other technical decisions to happen safely and quickly, this role offers meaningful technical ownership and enterprise-level impact.
At Admiral Talent, our vision is to redefine staffing through genuine partnerships, innovation, and a people-first mindset. Guided by experienced leadership, we’re committed to driving growth, empowering talent, and delivering exceptional results for every client we serve.