Cloud Engineer

Cloud Engineer
Remote
May 22, 2025
Full Time
Application ends: August 22, 2025

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Job Description

Role Overview

We’re looking for a Cloud Engineer with deep technical expertise in cloud-native architecture, infrastructure as code (IaC), and security-hardening of distributed systems in production environments. You won’t just be “migrating to the cloud”—you’ll design and refine the system that makes deployment, scaling, and resilience a non-event.

This is not a generic lift-and-shift role. You’ll architect, optimize, and automate infrastructure that supports microservices-based applications with low latency and high availability, mostly running on Kubernetes in AWS and GCP.

Key Responsibilities

  • Build, manage, and monitor multi-account cloud environments in AWS and GCP using Terraform and Pulumi.
  • Implement secure VPC architectures, including Transit Gateways, PrivateLink, and custom routing.
  • Deploy and manage containerized workloads in production-grade Kubernetes clusters (EKS/GKE) with Helm and Argo CD.
  • Maintain CI/CD pipelines (GitHub Actions and GitLab CI), with an emphasis on pipeline observability and rollback strategies.
  • Automate compliance checks using tools like Open Policy Agent (OPA), HashiCorp Sentinel, and Conftest.
  • Design and implement zero-downtime blue/green and canary deployments, ensuring traceability across environments.
  • Work closely with SREs and developers to troubleshoot production incidents and perform root cause analysis beyond the logs.

Required Skills

  • 3–6 years in cloud infrastructure roles, including recent experience with both AWS and GCP.
  • Strong proficiency in Terraform (HCL) and at least one real-world implementation of Pulumi in TypeScript or Python.
  • In-depth understanding of Kubernetes internals, including CRDs, network policies, and node pool tuning.
  • Proven experience with multi-region deployments, including failover testing and latency optimization.
  • Familiarity with service mesh technologies like Istio or Linkerd, and how they integrate with workload identity and mTLS.
  • Experience implementing identity federation and workload authentication using tools like AWS IAM Roles for Service Accounts (IRSA) or Workload Identity Federation in GCP.

Bonus if you have:

  • Prior experience with self-hosted GitOps workflows (e.g., Argo CD + Vault).
  • Worked on a system requiring SOC 2, HIPAA, or FedRAMP compliance at the infrastructure level.
  • Implemented Kubernetes cost optimization at scale, including bin packing, spot instance strategies, and autoscaling.

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