Platform Infrastructure Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, and manage virtual machine and Kubernetes infrastructure on GCP and AWS across development, staging, and production environments in various regions.

• Create and uphold Infrastructure as Code using Terraform modules and Spacelift or similar TACOS.

• Provision networking, computing, storage, and security components.

• Execute multi-layer configuration management workflows.

• Develop and maintain observability solutions utilizing Grafana Cloud, Prometheus/Mimir, and OTel collectors.

• Create dashboards and alerting rules for various platform components.

• Oversee certificate lifecycle, DNS automation, ingress controllers, and service mesh networking with Cilium.

• Collaborate with Engineering, Product, Compliance, and Security teams on requirements, capacity planning, disaster recovery, and architectural design.

• Identify and reduce toil through automation, scripts, CI/CD pipelines, and AI-assisted coding tools.

• Engage in a 24x7 on-call rotation, respond to incidents, and conduct post-incident reviews.

• Take ownership of reliable, secure, and scalable infrastructure across GCP and AWS.

• Enhance observability, incident detection and resolution, infrastructure uptime, and provisioning lead times.

⛳️ Requirements

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

• Proficiency in Python, Bash, and Go.

• Understanding of network topologies and communication protocols, including TCP/IP, HTTP/S, UDP, and TLS.

• Experience with enterprise-grade connectivity solutions.

• Expertise in Kubernetes, including cluster administration, RBAC, networking, workload management, and production troubleshooting.

• Demonstrated experience with Terraform for infrastructure provisioning and management.

• Familiarity with Google Cloud Platform services, including GKE, VPC networking, Cloud DNS, Artifact Registry, Secret Manager, IAM, Gemini Code Assist, and Workload Identity.

• Understanding of how to utilize LLM-based code-assist tools for efficient software development and troubleshooting.

• Experience with GitOps methodologies and tools (preferred).

• Willingness to participate in a 24x7 on-call rotation.

• Ability to work within a globally distributed team.

🏝️ Benefits

• Globally distributed remote work arrangement.

• Access to AI-assisted development and code-review tools, including Gemini Code Assist.

• Involvement in a 24x7 on-call rotation.