Education
Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline, or equivalent relevant industry experience.
Experience
Ten (10) or more years of progressive experience in DevOps, Cloud Engineering, Platform Engineering, Site Reliability Engineering, software engineering, infrastructure engineering, or a related technical field. Five (5) or more years designing, implementing, managing, and supporting enterprise cloud infrastructure and cloud-based platforms in Microsoft Azure and/or Amazon Web Services (AWS), with demonstrated ability to design and operate across multi-cloud environments.
Demonstrated experience functioning as a senior technical lead, principal engineer, architect, or equivalent authority for enterprise-scale DevOps or platform engineering initiatives. Hands-on experience designing and operating distributed systems, cloud-native platforms, containerized workloads, and production services in a large enterprise environment. Progressive achievement in job history, including successful delivery of complex, cross-functional initiatives with measurable technical or operational outcomes.
Required Technical Expertise
Expert-level infrastructure-as-code experience with Terraform, including reusable module design, testing, state and dependency management, upgrade strategy, drift detection, and governed deployment workflows. Expert-level design and implementation of CI/CD and release-engineering systems using Azure DevOps, including Azure Repos and Azure Pipelines, for application and infrastructure delivery across Azure and AWS. Advanced Kubernetes and container-platform expertise, including Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), Helm, GitOps with Argo CD, workload security, cluster operations, upgrades, scaling, networking, storage, and troubleshooting.
Advanced automation and software-development capability using PowerShell, Bash, Python, APIs, SDKs, and Git-based development practices. Deep understanding of Azure and AWS governance, policy as code, identity and access management, secrets and certificate automation, network security, DevSecOps, software supply-chain security, resource organization, tagging, and cloud cost controls. Advanced multi-cloud observability and reliability engineering experience using Datadog, OpenTelemetry, Azure Monitor, Application Insights, Amazon CloudWatch, or comparable tooling, including SLOs, actionable alerting, incident response, and root-cause analysis.
Expert understanding of SDLC automation, Agile delivery, design and development practices, testing standards, change control, continuous integration, continuous delivery, and operational readiness. Ability to develop reference architectures and technical standards that balance security, reliability, developer experience, cost, maintainability, and speed of delivery.