Original listing text, shown exactly as published by the company.
Who You Are
- Seniority: Minimum of 5 years dedicated experience in DevOps, Infrastructure, or SRE roles. Expert Tooling: Must be an expert with Docker, Kubernetes (k8s), and Terraform/Pulumi.
- Cloud Proficiency: Deep, proven expertise in either AWS or GCP infrastructure, with the ability to quickly grasp and transition to other cloud providers.
- Development Skills: Strong ability to write clean, maintainable code for automation in Go, Python, or Node.js.
- Security Focus: Demonstrable experience implementing and maintaining modern cloud security controls and meeting key compliance standards (SOC2, PIPEDA, HIPAA and/or GDPR).
- Independent, Proactive, and Cross-Functional: Proven ability to quickly onboard, diagnose problems, and propose/implement solutions with minimal oversight. Experienced in a consultant or freelancer capacity, demonstrating an aptitude for understanding and effectively communicating with both technical and non-technical stakeholders.
What You'll Do
- To be successful the candidate will be expected to rapidly deliver solutions leveraging the following specific cloud services and tooling down below:
- Infrastructure as Code (IaC) Mastery: Quickly implement and adapt infrastructure using Terraform , Pulumi, or other major IaC tools.
- Containers proficiency: Experience with Docker is critical. You must deeply understand how to design, build, and optimize secure, multi-stage Dockerfiles.
- CI/CD Implementation: Design, build, and manage robust Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate code testing, building, and deployment across environments.
- Core Cloud Services (AWS or GCP): Proven ability to provision and manage foundational services. Deep expertise in one major cloud provider is required, with the understanding that knowledge is transferable to the other.
- Container Compute: Expertise in at least one major container platform: EKS, GKE, ECS, Fargate, OR Cloud Run. (Expertise in Kubernetes (k8s) is still highly valued, particularly with EKS or and GKE.)
- Networking: Understand when to use load balancers, VPNs for secure connectivity, and private VPCs for network isolation. Applies knowledge of subnetting, routing, VPC peering, and NAT gateways to build secure applications.
- Storage: Experience with S3 (AWS) OR Cloud Storage (GCP).
- Databases: Experience with RDS (AWS) OR CloudSQL (GCP).
- Serverless: Deploy event-driven components using Cloud Functions (AWS Lambda/GCP Functions) or their equivalents.
- CDNs, Message Queues.
- Security: Understands the value of security such as protecting PII, the role of encryption, secrets management, network firewalls, and web application firewalls (AWS WAF, GCP Cloud Armor) following security best practices.
- Automation & Scripting: Write high-quality automation and tooling using Go, Python, Node.js or Bash for client-specific operational challenges.
- Monitoring and Operations: Ensure robust monitoring (leveraging out-of-the-box cloud provider solutions) and high system uptime.
Nice to Have
- AI/ML Infrastructure: Experience deploying and managing AI/ML workloads. Provisioning vector databases, and GPU/TPU compute resources.
- Multi-Cloud Experience: Prior hands-on experience in both AWS and GCP environments.
- Certifications: Cloud Certifications such as AWS or GCP certificates. Are a plus, but not mandatory.
- Advanced monitoring (e.g., Prometheus, Datadog) or logging experience.
- Experience with GitOps, ArgoCD or Flux.
- Experience with a Service Mesh, Ingress gateway.
AI in our hiring process
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.
