Mid-Level Cloud Engineer – GCP / DevOps

Robotic Process Automation LLC; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Robotic Technologies Automation is seeking a Mid-Level Cloud Engineer in New York to manage cloud infrastructure and develop infrastructure-as-code solutions.

The role focuses on building CI/CD pipelines, Terraform provisioning for GCP, and coordinating deployments across development, testing, and production environments. Collaboration with DevOps and Agile teams is essential.

Qualifications

• Mid-Level Cloud Engineer with strong experience in Google Cloud Platform (GCP).
• Proficient in Terraform for infrastructure provisioning.
• Experience with CI/CD pipelines and DevOps automation.

Responsibilities

• Build, maintain, and optimize CI/CD pipelines for development and deployment.
• Develop and maintain Terraform code for GCP infrastructure provisioning.
• Manage GCP resources: Compute Engine, Cloud Storage, VPC, IAM, Secret Manager.
• Support Salesforce and Gearset deployment pipelines.
• Troubleshoot GitHub integrations with SonarQube for analysis and security.
• Manage build artifacts via Google Cloud Artifact Registry.
• Support DataDog monitoring, logging, and observability.
• Operate GKE workloads, deployments, namespaces.
• Migrate manually provisioned GCP resources to Terraform-managed infra.
• Follow IaC standards and DevOps best practices.
• Participate in Agile ceremonies and sprint planning.
• Maintain technical documentation and troubleshoot issues.

Skills

GCP

CI/CD pipelines

DevOps automation

Tools

Terraform

GitHub

SonarQube

Google Cloud Artifact Registry

DataDog

GKE

Compute Engine

VPC networking

IAM

Secret Manager

Gearset

Job description

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.