Senior Cloud Engineer - US

Posted 2 Days Ago
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Digital Media • Information Technology • Consulting
The Role
Lead architecture, implementation, and operations of the cloud platform on Google Cloud. Improve platform patterns (networking, IAM, security, observability, automation), drive CI/CD and IaC standards, mentor engineers, manage incidents, and align infrastructure with product needs to enable reliable, scalable production workloads.
Summary Generated by Built In

What You'll Do

  • Support cloud platform architecture, implementation, and continuous improvement initiatives

  • Translate high-level architecture decisions into practical engineering tasks and delivery plans

  • Drive improvements across platform patterns including networking, IAM, security, observability, automation, and deployment workflows

  • Troubleshoot and escalate complex cloud operations issues, providing senior technical guidance and solutions

  • Mature runbooks, monitoring strategies, alerting frameworks, support handoffs, and operational documentation

  • Identify platform gaps, technical debt, architectural risks, and prioritize improvement opportunities

  • Collaborate with product teams across multiple projects and business units to align cloud infrastructure with application needs

  • Mentor engineers on cloud architecture, DevOps best practices, and operational excellence

  • Work closely with Google Cloud, internal infrastructure teams, and external partners to optimize platform capabilities

  • Lead incident response and post-incident reviews for cloud platform issues

  • Establish and enforce cloud governance, compliance, and security standards



Requirements

What You'll Bring

  • Strong experience in DevOps, platform engineering, or cloud infrastructure

  • Hands-on experience with Google Cloud Platform in enterprise environments

  • Expert knowledge of GCP services including compute, networking, storage, IAM, Cloud SQL, and observability

  • Strong proficiency in infrastructure as code using Terraform or similar tools

  • Deep experience with CI/CD platforms (GitLab CI/CD, GitHub Actions, Helm) and deployment automation

  • Deep experience with Kubernetes/ GKE, container orchestration, load balancing, and networking

  • Strong scripting and automation skills (Python, Bash, Go, or similar)

  • Experience supporting mission-critical production cloud workloads at scale

  • Solid understanding of cloud security, compliance frameworks, and IAM best practices

  • Experience with monitoring, logging, alerting, and observability solutions

  • Proven track record of mentoring engineers and driving architectural standards

  • Excellent communication and documentation skills with ability to work across teams

  • Experience with incident management, troubleshooting, and escalation handling

How to Apply

  • Describe your senior cloud platform engineering and operations experience

  • Share examples of architecture improvements, production systems, or operational transformations you've led

  • Tell us why you are interested in joining Suzega

What Happens Next

  • We will review applications

  • If shortlisted, you'll participate in two virtual interviews with our Trusted Interviewers

  • You will have to complete a cloud architecture and operations assessment

  • We will aim to complete our selection process within two weeks and notify you of our decision

Why This Matters

At Suzega, we're not just building better AI—we're thinking about how AI can work better with people and society. As our Senior Cloud Engineer, you'll architect and operate the platform that enables responsible, reliable AI innovation at scale. Are you ready to help shape what AI can and should do?

If so, we'd love to hear from you.

This is more than a job. It's a chance to shape the future

Location: Work from anywhere in the US 


Benefits
Please review the Benefits & Perks section in our Team Member Handbook for comprehensive information.

Skills Required

  • Strong experience in DevOps, platform engineering, or cloud infrastructure
  • Hands-on experience with Google Cloud Platform in enterprise environments
  • Expert knowledge of GCP services including compute, networking, storage, IAM, Cloud SQL, and observability
  • Proficiency with infrastructure as code using Terraform or similar tools
  • Deep experience with CI/CD platforms (GitLab CI/CD, GitHub Actions) and deployment automation
  • Deep experience with Kubernetes/GKE, container orchestration, load balancing, and networking
  • Strong scripting and automation skills (Python, Bash, Go, or similar)
  • Experience supporting mission-critical production cloud workloads at scale
  • Solid understanding of cloud security, compliance frameworks, and IAM best practices
  • Experience with monitoring, logging, alerting, and observability solutions
  • Proven track record of mentoring engineers and driving architectural standards
  • Experience with incident management, troubleshooting, and escalation handling
  • Excellent communication and documentation skills with ability to work across teams
Am I A Good Fit?
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The Company
0 Employees
Year Founded: 2025

What We Do

Suzega is a born-AI innovation studio that builds AI capability for enterprises, providing AI strategy, solutions, and sustainable AI operations to automate tasks and foster human flourishing.

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