Cloud Engineer

• Design, build, and support reusable cloud platform services and deployment patterns
  

• Configure and manage GCP infrastructure including projects, networking, IAM, security, compute, storage, and platform services
  

• Build, maintain, and continuously improve CI/CD pipelines using GitLab CI/CD, GitHub Actions, or similar tools
  

• Implement and manage infrastructure as code using Terraform for repeatable, automated deployments
  

• Standardize environments across development, staging, production, and future workloads
  

• Support application onboarding and integration with shared platform services
  

• Automate manual deployment, upgrade, and environment promotion processes
  

• Manage GitLab/GitHub workflows, runners, build processes, secrets handling, and deployment gates
  

• Implement containerized application deployment patterns using Kubernetes/GKE, Helm, and related tooling
  

• Establish security scanning, secrets management, artifact management, and release controls
  

• Design and maintain disaster recovery, rollback planning, and incident response procedures
  

• Improve documentation, reference architectures, release processes, and operational handoffs
  

• Collaborate with application, security, infrastructure, cloud operations, and product teams
  

• Support release processes in enterprise and regulated environments
  

• Monitor platform performance, reliability, and cost optimization
  

What You'll Bring

• Experience in DevOps, platform engineering, or cloud infrastructure
  

• Strong hands-on experience with Google Cloud Platform (GCP) and cloud-native architecture
  

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

• Deep experience with CI/CD platforms (GitLab CI/CD, GitHub Actions, Jenkins)
  

• Advanced knowledge of Kubernetes/GKE, container orchestration, and Helm
  

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

• Experience with containerization technologies (Docker, container registries)
  

• Solid understanding of cloud networking, load balancing, DNS, and VPC configuration
  

• Knowledge of IAM, security controls, encryption, and compliance requirements
  

• Familiarity with secrets management, artifact management, and security scanning
  

• Experience with monitoring, logging, and observability tools
  

• Understanding of relational databases (Cloud SQL) and cloud storage solutions
  

• Excellent communication skills and ability to work across cross-functional teams
  

• Proven ability to document solutions and create reference architectures
  

• Describe your GCP platform engineering and DevOps experience
  

• Share examples of CI/CD pipelines, infrastructure, or automation you've built
  

• Tell us why you are interested in joining Suzega
  

• We will review applications
  

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

• You will have to complete a platform engineering or infrastructure design assessment
  

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

At Suzega, we're not just building better AI—we're thinking about how AI can work better with people and society. As our Cloud Engineer, you'll build the platform that enables our entire organization to innovate responsibly and deploy with confidence. 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