Cloud Architect

Summary

We are looking for a talented and experienced Cloud Platform Engineer to design, build, automate, and operate modern, scalable cloud infrastructure with a strong focus on Kubernetes ecosystems.

You will be responsible for managing production Kubernetes clusters, implementing Infrastructure as Code (IaC), developing automation tooling in Python, and enabling reliable API integrations across cloud services and internal systems.

This is a highly technical, hands-on role ideal for engineers who enjoy building developer-friendly platforms and solving complex distributed systems challenges.

Detailed Description

Performs tasks such as, but not limited to, the following:

• Design, deploy, manage, and optimize production-grade Kubernetes clusters (EKS, GKE, AKS, or vanilla) in multi-cloud or hybrid environments
• Implement and maintain Infrastructure as Code using Terraform (including modular design, state management, workspaces, and best practices)
• Automate infrastructure provisioning, cluster lifecycle operations (upgrades, scaling, backups), and day-2 operations
• Develop clean, reusable Python automation scripts, tools, CLIs, custom Kubernetes controllers/operators, and operational workflows
• Build and maintain robust API integrations (REST, GraphQL) with major cloud provider APIs, observability platforms, CI/CD systems, secret managers, and internal services
• Design and implement secure, GitOps-style CI/CD pipelines for containerized applications (ArgoCD / Flux preferred)
• Work closely with development teams to containerize workloads, author Kubernetes manifests / Helm charts, and define deployment patterns
• Implement observability, monitoring, logging, and alerting (Prometheus, Grafana, Loki, ELK stack, cloud-native tools)
• Enforce security best practices: RBAC, Network Policies, Pod Security Admission, secret management, image scanning, OPA/Kyverno policies
• Participate in production on-call rotation and incident response

Knowledge/Skills/Competencies

• GitOps tooling (ArgoCD)
• Helm chart authoring and management
• Kubernetes Operators and Custom Resource Definitions (CRDs)
• Service mesh experience (Istio, Linkerd)
• CI/CD platforms: GitHub Actions, GitLab CI, Jenkins
• Observability stack: Prometheus + Grafana 
• Policy engines: OPA Gatekeeper, Kyverno
• Security tooling: Falco, Trivy, cosign
• Relevant certifications: CKA, CKAD, CKS, Terraform Associate, AWS/GCP/Azure certifications
• Multi-cloud or hybrid-cloud exposure

Physical Demands

Duties of this position are performed in a normal office environment.

Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

Typical Experience

• 8+ years of professional experience in cloud infrastructure, DevOps, SRE, or platform engineering
• Strong production experience operating Kubernetes at scale (troubleshooting, networking, storage, upgrades, resource tuning, security hardening)
• Expert-level hands-on experience with Terraform for multi-environment IaC (deep knowledge in at least one major cloud: AWS / GCP / Azure)
• Solid Python programming skills for automation, tooling, and cloud SDK usage (boto3 / google-cloud / azure-sdk)
• Proven experience designing and implementing API integrations with cloud services and third-party systems
• Deep understanding of container technologies (Docker) and orchestration principles
• Strong Linux systems knowledge, networking fundamentals, DNS, load balancing, firewalls
• Experience working with at least one major public cloud provider (AWS, GCP, or Azure)

Typical Education

Bachelor's Degree or consideration of an equivalent combination of education and experience.  

Educational requirements may vary by geography.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.