Senior Cloud Engineer - US

Suzega; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Suzega is seeking a Senior Platform Engineer to own cloud infrastructure across architecture, implementation, and continual improvement. The role emphasizes automation, security, and operational excellence for mission-critical workloads on enterprise cloud platforms.

You will translate architecture decisions into concrete tasks, drive platform improvements, and mentor teams. Expect collaboration with product units to align infrastructure with applications and contribute to governance and

Qualifications

• Experience in DevOps, platform engineering, or cloud infra roles.
• Hands-on with Google Cloud Platform in enterprise environments.
• Strong knowledge of GCP services: compute, networking, storage, IAM, Cloud SQL, observability.
• Proficient with infrastructure-as-code using Terraform or similar.
• Deep experience with CI/CD platforms like GitHub Actions and GitLab CI/CD; Helm.
• Kubernetes and GKE expertise including orchestration, load balancing, networking.
• Strong scripting in Python, Bash, or Go; automation skills.
• Understanding of IAM, security practices, monitoring, logging, and alerting.
• Ability to mentor teams and drive architectural standards across groups.

Responsibilities

• Translate architecture decisions into engineering tasks and delivery plans.
• Improve platform patterns for networking, IAM, security, observability, automation, and deployment workflows.
• Troubleshoot complex cloud operations issues and provide senior technical guidance.
• Mature runbooks, monitoring, alerting, handoffs, and operational docs.
• Identify platform gaps, technical debt, and architectural risks for remediation.
• Partner with product teams to align infrastructure with app needs.
• Lead incident response and post-incident reviews for cloud platforms.
• Mentor engineers on cloud architecture, DevOps, and operational excellence.
• Establish and enforce cloud governance and security standards.

Skills

DevOps

Platform Engineering

GCP Expertise

Terraform

Kubernetes

CI/CD

Helm

Scripting

IAM & Security

Observability

Tools

Terraform

GitHub Actions

GitLab CI/CD

Kubernetes (GKE)

Helm

Prometheus

Cloud Logging

Job description

Role overview

Serve as a senior platform engineer responsible for cloud infrastructure spanning architecture, implementation, and continuous improvement. The role centers on automation, security, and operational excellence for mission-critical workloads running on enterprise cloud platforms.

Responsibilities

• Translate high-level architecture decisions into concrete engineering tasks and delivery plans.
• Drive improvements across platform patterns covering networking, identity and access management, security, observability, automation, and deployment workflows.
• Troubleshoot and resolve complex cloud operations issues, providing senior technical guidance across teams.
• Mature runbooks, monitoring strategies, alerting frameworks, support handoffs, and operational documentation.
• Identify platform gaps, technical debt, and architectural risks, then prioritize remediation efforts.
• Partner with product teams across multiple business units to align infrastructure with application needs.
• Lead incident response and post-incident reviews for cloud platform issues.
• Mentor engineers on cloud architecture, DevOps practices, and operational excellence.
• Establish and enforce cloud governance, compliance, and security standards.

Requirements

• Strong background in DevOps, platform engineering, or cloud infrastructure roles.
• Hands-on experience operating Google Cloud Platform in enterprise environments.
• Expert knowledge of GCP services spanning compute, networking, storage, IAM, Cloud SQL, and observability tooling.
• Strong proficiency with infrastructure-as-code using Terraform or comparable tools.
• Deep experience with CI/CD platforms such as GitLab CI/CD, GitHub Actions, and Helm.
• Deep experience with Kubernetes and GKE, including container orchestration, load balancing, and networking.
• Strong scripting and automation skills in Python, Bash, Go, or similar languages.
• Solid grasp of compliance requirements and IAM best practices, plus monitoring, logging, and alerting solutions.
• Proven ability to mentor engineers and drive architectural standards across teams.