Platform Engineer & Cloud Ops Engineer

Skills this role screens for

The work

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.

Also

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.

Also

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.

Also

CI/CD, Monitoring & Operational Support

Leadership & Collaboration (Senior-focused)

TECH STACK

• 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.
• 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.

Also

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)

Nice to have

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)

Who they want

REQUIREMENTS

Who they want

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

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.

Also

HOW SUCCESS IS MEASURED

All your information will be kept confidential according to EEO guidelines.

• 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.