Gcp Devops Engineer Dallas Tx

Job Role: GCP DevOps Engineer

Location: Dallas, TX

Duration: 6+ Months

ABOUT POSITION:

Experience Required: 10+ Years

We are seeking a skilled DevOps Engineer with strong experience in Google Cloud Platform (GCP) and Python development to join our dynamic team.

The ideal candidate will play a crucial role in designing, automating, and managing our cloud infrastructure, ensuring smooth application deployments in a secure and scalable environment.

WHAT YOU'LL DO:

Design, implement, and maintain CI/CD pipelines using tools such as GitHub Actions and Bamboo.

Automate infrastructure provisioning and configuration using Ansible on GCP.

Develop and maintain automation scripts and utilities using Python.

Manage and optimize GCP services including BigQuery, IAM, Cloud Storage, Compute Engine, GKE, Cloud Functions, and Pub/Sub.

Implement monitoring, logging, and alerting solutions using Cloud Monitoring and Doramatrix.

Ensure high availability, scalability, and reliability of applications in cloud environments.

Collaborate with development teams to enhance software delivery, quality, and reliability.

Drive best practices in DevOps, Site Reliability Engineering (SRE), and cloud-native architectures.

Implement and maintain security and compliance on GCP and on-premises data servers

MANDATORY SKILLS:

5 to 8 years of hands-on experience in DevOps / Cloud Engineering.

Strong expertise in Google Cloud Platform (GCP) services.

Proficiency in Python scripting for automation and tool development.

Strong knowledge of CI/CD tools (GitHub Actions, Bamboo).

Hands-on experience with Ansible Configuration Management Tool.

Good hands-on experience using Linux/Unix systems administration.

Experience with monitoring & logging tools (Cloud Monitoring, Doramatrix).

Knowledge of DevSecOps practices and cloud security fundamentals.

Strong problem-solving and debugging skills

PREFERRED SKILLS:

Exposure to multi-cloud environments (AWS, Azure).

Experience with serverless computing (Cloud Functions, Cloud Run).

Knowledge of BigQuery, Pub/Sub, Airflow for data engineering workflows.

Familiarity with Agile/Scrum methodologies.

Google Cloud Professional Certifications (e.g., Professional Cloud DevOps Engineer, Professional Cloud Architect) will be an advantage.