Mid-Level Cloud Engineer – GCP / DevOps

Ethereum Technologies; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Ethereum Technologies is seeking a Mid-Level Cloud Engineer to design, implement, and optimize cloud infrastructure on Google Cloud Platform. You will build IaC with Terraform, manage CI/CD pipelines, and support automation across development, testing, and production environments.

You will collaborate in agile ceremonies, migrate resources to Terraform, maintain monitoring with DataDog, and ensure secure, scalable cloud services.

Qualifications

• Strong experience with Google Cloud Platform (GCP), Terraform, and CI/CD pipelines.
• Demonstrated DevOps automation capabilities across development, testing, and production.
• Mid-level professional with hands-on cloud infrastructure responsibilities.

Responsibilities

• Build, maintain, and optimize CI/CD pipelines to support software development and deployment workflows.
• Develop and maintain Terraform code for GCP infrastructure provisioning.
• Manage GCP resources, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager.
• Support and maintain Salesforce and Gearset deployment pipelines.
• Troubleshoot and maintain GitHub integrations with SonarQube for static code analysis and security scanning.
• Manage build artifacts using Google Cloud Artifact Registry.
• Support DataDog monitoring, log forwarding, alerting, and observability.
• Support Google Kubernetes Engine (GKE) operations, including workload deployments and namespace management.
• Manage cloud infrastructure across development, testing, and production environments.
• Migrate manually provisioned GCP resources into Terraform-managed infrastructure.
• Follow infrastructure-as-code standards and established DevOps best practices.
• Participate in Agile ceremonies, sprint planning, and iterative delivery.
• Maintain technical documentation and troubleshoot infrastructure and deployment issues.

Skills

Cloud engineering

DevOps mindset

Tools

Google Cloud Platform (GCP)

Terraform

CI/CD pipelines

GitHub

SonarQube

DataDog

Google Kubernetes Engine (GKE)

Artifact Registry

Cloud Storage

IAM

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking a Mid-Level Cloud Engineer with strong experience in Google Cloud Platform (GCP), Terraform, CI/CD pipelines, and DevOps automation. The ideal candidate will be responsible for managing cloud infrastructure, developing infrastructure-as-code solutions, maintaining deployment pipelines, and supporting monitoring and observability tools across development, testing, and production environments.

Key Responsibilities

• Build, maintain, and optimize CI/CD pipelines to support software development and deployment workflows.
• Develop and maintain Terraform code for GCP infrastructure provisioning.
• Manage GCP resources, including Compute Engine, Cloud Storage, VPC networking, IAM, and Secret Manager.
• Support and maintain Salesforce and Gearset deployment pipelines.
• Troubleshoot and maintain GitHub integrations with SonarQube for static code analysis and security scanning.
• Manage build artifacts using Google Cloud Artifact Registry.
• Support DataDog monitoring, log forwarding, alerting, and observability.
• Support Google Kubernetes Engine (GKE) operations, including workload deployments and namespace management.
• Manage cloud infrastructure across development, testing, and production environments.
• Migrate manually provisioned GCP resources into Terraform-managed infrastructure.
• Follow infrastructure-as-code standards and established DevOps best practices.
• Participate in Agile ceremonies, sprint planning, and iterative delivery.
• Maintain technical documentation and troubleshoot infrastructure and deployment issues.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.