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GCP DevOps Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

US citizenship and security clearance, 6+ years in GCP DevOps or related roles, Google Cloud certifications and expertise, Proficiency in automation and CI/CD tools, Strong analytical and problem-solving skills.

Key responsabilities:

Develop multi-tenant environments with high security
Design CI/CD pipelines for automated deployment
Utilize GCP services for optimized strategies
Collaborate with cross-functional teams for support
Implement IaC and monitor applications in GCP

BizFirst LLC Human Resources, Staffing & Recruiting Startup https://www.bizfirst.net

11 - 50 Employees

See more BizFirst LLC offers

Job description

This is a remote position.

Job Title: GCP DevOps Engineer
Employment Type: Full-time Permanent W-2 Employee
Work Type: Remote or Hybrid (2-3 days/week onsite in Crystal City, VA)
Security Clearance: US Citizens, our client will sponsor security clearance

Introduction:

Our client, a premier provider of Artificial Intelligence Integration Services and advanced data platforms for government and defense clients, is looking to hire a full-time GCP DevOps Engineer. We are seeking a candidate who is proficient in Google Cloud Platform (GCP) environments, with a passion for building and maintaining scalable and secure cloud infrastructure. Our client is committed to innovation, collaboration, and delivering excellence in every project.

What You Will Do:

As a GCP DevOps Engineer, you will be a key player in developing and managing a multi-tenant environment in GCP for Department of Defense programs. You will be responsible for building scalable and secure infrastructure, automating deployment pipelines, and optimizing cloud resources to ensure seamless integration and performance.

Responsibilities:

Develop and manage multi-tenant environments in GCP, focusing on high availability, scalability, and security.
Design and implement GCP-based CI/CD pipelines to automate build, test, and deployment processes.
Utilize GCP services such as Google Kubernetes Engine (GKE), Cloud Functions, and Pub/Sub to optimize deployment strategies.
Collaborate with cross-functional teams, including data engineers, developers, and security experts, to support application deployment and maintenance.
Implement Infrastructure as Code (IaC) using Terraform and Google Cloud Deployment Manager.
Monitor, log, and troubleshoot GCP-based applications and infrastructure using Google Cloud Monitoring and Logging.
Ensure compliance with security best practices, including identity and access management (IAM) policies, firewall rules, and encryption.
Create and maintain comprehensive documentation for GCP infrastructure and DevOps processes.

Requirements:

US Citizenship Required: Only US Citizens are eligible for this position.
Clearance: US Citizens, our client will sponsor security clearance.
Google Cloud certifications (e.g., Professional Cloud DevOps Engineer).
Experience: Minimum of 6 years in a DevOps or related role, with substantial experience in GCP environments.
GCP Expertise: Strong experience with GCP services, including GKE, Cloud Functions, Cloud Storage, and IAM.
Automation Tools: Proficiency in Terraform and Google Cloud Deployment Manager for IaC.
CI/CD Tools: Experience with CI/CD tools such as Jenkins, Google Cloud Build, or GitLab CI.
Scripting Languages: Proficiency in scripting languages like Python, Bash, or Go.
Monitoring Tools: Familiarity with Google Cloud Monitoring, Logging, and Stackdriver.
Security Practices: Knowledge of GCP security best practices, including VPC configurations, IAM policies, and encryption standards.
Problem-solving: Strong analytical and problem-solving skills with the ability to work in a fast-paced, dynamic environment.
Communication: Excellent communication and teamwork skills, capable of working effectively with cross-functional teams.
Detail-oriented: A meticulous approach with a strong focus on quality and detail in all deliverables.

Nice to Have:

Experience with other cloud platforms (AWS, Azure).
Experience with AI/ML tooling in GCP (Kubeflow, TensorFlow Extended).
Familiarity with Active Directory integration and identity management in GCP environments.

Benefits:

Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development. This includes competitive healthcare coverage for you and your family, a retirement savings plan with employer contributions, ample paid time off including holidays, opportunities for continuous learning and career advancement, and more! Our client prioritizes a supportive work environment with policies that promote work-life balance and recognize employee contributions, ensuring a rewarding experience for all team members.

Salary:

$120 K - $200K