About the role
Job Description
KEY RESPONSIBILITIES
Platform Architecture & Strategy (Senior-focused)
* Lead the architecture and deployment of complex multi-cloud solutions (GCP/AWS), including networking, compute, storage, and multi-environment design.
* Define platform standards and reusable patterns (e.g., Terraform modules, cluster blueprints).
* Evaluate emerging cloud technologies to enhance cloud strategy and roadmap.
* Drive cost optimization and FinOps practices, including right-sizing and governance.
* Own platform reliability, scalability, capacity planning, and disaster recovery design.
Infrastructure Provisioning & Automation
* Deploy, configure, and manage cloud infrastructure across GCP and AWS.
* Write and maintain infrastructure as code (Terraform primary; CloudFormation/ARM where applicable).
* Maintain multi-environment infrastructure consistency (dev, staging, prod).
* Automate provisioning, configuration, and operational tasks to reduce manual toil.
Kubernetes & Container Platform
* Design, operate, and support production-grade Kubernetes clusters (GKE preferred).
* Manage upgrades, autoscaling, node pools, namespaces, and RBAC policies.
* Own Helm/Kustomize standards for application deployment.
* Support or manage service mesh (Istio) for traffic management, mTLS, observability, and security.
* Define and promote golden paths for safe and consistent app deployment.
CI/CD, Monitoring & Operational Support
* Build and maintain GitLab CI/CD pipelines for infrastructure and application delivery.
* Monitor platform health using Datadog — metrics, logs, traces, SLOs, and alerts.
* Troubleshoot issues, support incident response, and lead post-incident reviews (senior).
* Maintain runbooks and dashboards; lead or support on-call rotations.
Leadership & Collaboration (Senior-focused)
* Mentor junior and mid-level engineers, set technical direction, and review designs.
* Collaborate effectively with global, cross-functional, and on/offshore teams.
* Communicate architecture decisions clearly to technical and business stakeholders.
TECH STACK
Required:
* Cloud Platforms: GCP (Compute Engine, GKE, VPC, Storage, IAM, Load Balancing), AWS (EC2, EKS, VPC, S3, IAM)
* Kubernetes: GKE architecture, upgrades, Helm/Kustomize, autoscaling, RBAC
* Infrastructure as Code: Terraform (multi-environment, reusable modules, remote state)
* CI/CD: GitLab pipeline development and support
* Monitoring: Datadog (metrics, logs, traces, alerting, SLOs)
* Service Mesh: Istio (traffic management, mTLS, observability)
Good to have:
* GitOps tools (ArgoCD, Flux)
* Cloud FinOps tooling and cost optimization experience
* Scripting languages (Python, Go, Bash)
* Vault, Packer, service catalogs, and self-service platforms
* Experience in regulated environments (HIPAA, SOC 2, ISO 27001)
Qualifications
REQUIREMENTS
Must have:
* Platform Engineer: 3+ years in cloud infrastructure/platform or DevOps engineering.
* Senior Platform Engineer: 8+ years, with leadership or architect-level responsibilities.
* Deep, hands-on expertise with GCP and/or AWS cloud platforms.
* Strong Kubernetes production experience, preferably GKE.
* Expert-level Terraform skills with reusable modules and multi-env IaC.
* Proven CI/CD automation experience at scale.
* Ability to troubleshoot complex cloud environment issues.
* Collaborative teamwork mindset with clear communication skills.
Nice to have:
* Certifications: Google Professional Cloud Architect, AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA).
* Experience with GitOps and progressive delivery techniques.
* Prior FinOps or cloud cost optimization role experience.
* Scripting for automation and Linux system administration background.
HOW SUCCESS IS MEASURED
* Platform reliability: uptime and SLO achievement for shared services.
* Automation coverage and manual toil reduction.
* Adoption and enforcement of platform standards and self-service deployment paths.
* Cloud cost efficiency achieved through optimization.
* Timely and successful delivery of platform initiatives and projects.
* Mean time to recovery (MTTR) for platform-impacting incidents.
Additional Information
All your information will be kept confidential according to EEO guidelines.