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
Requirements
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
Benefits
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