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.