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Cloud DevOps Engineer

Granite Telecommunications

Quincy (MA)

On-site

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

Granite Telecommunications is seeking a mid-level Cloud DevOps Engineer to enhance our cloud modernization efforts. This key role involves building and maintaining CI/CD pipelines, implementing Infrastructure as Code, and collaborating with teams to optimize development processes. A strong understanding of cloud platforms and automation is essential. Join us in this exciting opportunity to make a significant impact within our innovative company.

Qualifications

  • Excellent scripting skills (Bash, Python, Go, or similar).
  • Hands-on experience with GCP, AWS, OCI, or Azure.
  • Proficiency in containerization and orchestration.

Responsibilities

  • Build, release, and maintain CI/CD pipelines.
  • Implement and manage Infrastructure as Code (IaC).
  • Collaborate with development teams to optimize workflows.

Skills

Scripting skills
Cloud DevOps
Networking
Containerization
Infrastructure as Code

Education

4+ years of experience in Cloud DevOps and/or Cloud Engineering
Cloud platform certifications (GCP, Azure, AWS)

Tools

Terraform
GitHub Actions
Docker
Kubernetes

Job description

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General Summary of Position

Granite has an immediate need for a mid-level Cloud DevOps Engineer to support our ongoing automation and cloud modernization initiative. This role is ideal for a DevOps enthusiast with a solid understanding of cloud computing and a passion for streamlining development and deployment processes.

The right candidate will be a self-starter, able to work independently or as part of a team. Must thrive in a fast-paced environment and learn new technologies quickly. This is a growing company where you will have a significant impact on our internal processes and contribute directly to organizational goals.

Duties and Responsibilities

  1. Build, release, and maintain CI/CD pipelines to support application development and deployment workflows.
  2. Define and document DevOps processes, standards, and tooling in a greenfield cloud environment.
  3. Implement and manage Infrastructure as Code (IaC) using tools like Terraform.
  4. Set up monitoring, logging, and alerting frameworks (e.g., Elastic, Prometheus, Grafana).
  5. Champion automation and self-service to improve Developer experience and reduce manual intervention.
  6. Collaborate with development teams to optimize build, test, and release pipelines.
  7. Integrate DevSecOps practices by embedding automated security and compliance checks into CI/CD pipelines.
  8. Design and manage cloud IAM policies and roles to enforce least-privilege access, automate user and service account provisioning, and maintain secure identity controls.
  9. Assist in defining, designing, and implementing cloud strategy and best practices.
  10. Lead and support incident response and root cause analysis for cloud infrastructure issues.
  11. Mentor junior engineers and promote operational excellence.

Required Qualifications

  • Excellent scripting skills (Bash, Python, Go, or similar).
  • 4+ years of experience in Cloud DevOps and/or Cloud Engineering.
  • Hands-on experience with GCP, AWS, OCI, or Azure - compute, storage, and network operation concepts.
  • 2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, IAM, and VPC.
  • Strong skills in Terraform, Pulumi, or similar IaC frameworks.
  • Proven experience building DevOps pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
  • Proficiency in containerization and orchestration (Docker, Kubernetes/GKE).
  • Solid understanding of networking, security principles, and access control in cloud environments.
  • Experience leading projects in greenfield or early-stage cloud environments.

Preferred Qualifications

  • Familiarity with security controls and DevSecOps concerns.
  • Cloud platform certifications (GCP, Azure, AWS).
  • Experience with multi-cloud and hybrid environments.
  • Experience building and managing AI/ML pipelines and infrastructure.
  • Experience with on-premises to cloud transformation.
  • Knowledge of Agile frameworks (SAFe) and development methodologies.
  • Experience with test automation tools and unit testing frameworks.
  • Experience with client-server and microservice architectures, Windows, and .NET environments.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Telecommunications

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