Mid-Level Cloud Engineer – GCP / DevOps

Machine Learning Technologies, LLC; New York (NY); In loco; USD 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

Machine Learning Technologies, LLC is seeking a Mid-Level Cloud Engineer to manage Google Cloud resources, implement Terraform-based infrastructure, and maintain robust CI/CD pipelines across development, testing, and production environments.

You will work on DevOps automation, observability tooling like DataDog, and integrations with Salesforce/Gearset, while collaborating in Agile ceremonies and maintaining comprehensive documentation.

Competenze

• Proven experience with Google Cloud Platform (GCP) and Terraform for IaC.
• Strong CI/CD design and implementation across development, testing, and production.
• Hands-on DevOps automation and infrastructure management in cloud environments.

Mansioni

• 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, IAM, and Secret Manager.
• Support and maintain Salesforce and Gearset deployment pipelines.
• Troubleshoot and maintain GitHub integrations with SonarQube for static analysis and security scanning.
• Manage build artifacts using Google Cloud Artifact Registry.
• Support DataDog monitoring, logging, alerting, and observability.
• Support GKE operations, including workload deployments and namespace management.
• Migrate manually provisioned GCP resources into Terraform-managed infrastructure.
• Follow IaC standards and DevOps best practices.
• Participate in Agile ceremonies and iterative delivery.
• Maintain technical documentation and troubleshoot deployment issues.

Conoscenze

GCP

Terraform

CI/CD pipelines

DevOps automation

Kubernetes (GKE)

Observability

Infrastructure as code

GitHub

SonarQube

Strumenti

GitHub

SonarQube

Google Cloud Artifact Registry

DataDog

Gearset

Salesforce

Descrizione del lavoro

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.