Jr. GCP DevOps Engineer

Title : GCP DevOps Engineer
Location: Dallas, TX & Portland, OR
Project Duration: 12 Months Contract
Job Type: Contract
Work Arrangement: Work from Client Office 5 Days a Week

Interview: Please apply if you can attend an immediate in-person interview in Richardson, TX on September 14. Candidates who are available on another interview date may also apply.

Need Locals Only

Job Description

We are seeking a highly experienced GCP DevOps Engineer / Cloud Platform Engineer with strong production expertise in Google Cloud Platform, Kubernetes, GitOps, CI/CD, Infrastructure as Code, automation, security, and observability. The ideal candidate will have 7+ years of experience designing and supporting enterprise-scale DevOps/SRE environments and hands-on experience with GCP, GKE, GitHub Actions, ArgoCD, Terraform, Docker, and cloud-native technologies.

Key Responsibilities

DevOps Strategy & CI/CD

• Lead CI/CD best practices including Continuous Integration, Continuous Delivery, automated testing, TDD, and continuous improvement across infrastructure, application deployments, and incident response.
• Design, build, and scale enterprise GitOps delivery pipelines and cloud-native infrastructure across Google Cloud Platform (GCP).
• Build modular GitHub Actions workflows integrated with Google Artifact Registry, GCP-hosted infrastructure, Workload Identity Federation, and automated DevSecOps security gates.
• Implement and manage ArgoCD on Google Kubernetes Engine (GKE) for continuous delivery, drift reconciliation, automated synchronization, and progressive deployments across multi-cluster GCP environments.
• Use Helm and Kustomize to manage Kubernetes application configurations and environment-specific deployments.
• Automate GCP infrastructure using Terraform, enforcing cloud governance through IAM, Workload Identity, Secret Manager, Cloud KMS, Organization Policies, and Cloud Logging/Monitoring.
• Design resilient, scalable, highly available, and secure cloud infrastructure supporting enterprise and telecom-grade workloads.
• Build end-to-end deployment pipelines integrating GitHub, GitHub Actions, GKE, Google Artifact Registry, Cloud SQL, and other GCP services with automated promotion across Development, Staging, and Production.
• Champion Infrastructure as Code using Terraform and Ansible and establish standards for pipeline governance, security scanning, dependency management, and automated compliance.

Automation & Release Engineering

• Install, configure, and maintain GitHub Actions self-hosted runners on Linux and Windows environments with high availability and operational reliability.
• Develop production-grade Python, Bash, PowerShell, and Groovy automation scripts for deployment, backup, rollback, health checks, validation, and operational tasks.
• Automate application and database deployments across GCP environments.
• Implement automated release, rollback, validation, and health-check mechanisms.
• Integrate GitHub Actions with Jira for automated ticket lifecycle management, change tracking, approvals, and deployment traceability.
• Develop reusable CI/CD templates and automation frameworks for engineering teams.

GCP Cloud, Kubernetes & Infrastructure

• Design and implement cloud-native solutions using Google Cloud Platform, with emphasis on reliability, scalability, performance, and cost optimization.
• Hands-on administration and troubleshooting of Google Kubernetes Engine (GKE) clusters.
• Manage GCP services including:
  • Google Compute Engine (GCE)
  • Google Kubernetes Engine (GKE)
  • Google Cloud Storage (GCS)
  • Google Artifact Registry
  • Cloud SQL
  • Cloud Load Balancing
  • VPC / Shared VPC
  • Cloud NAT
  • Cloud DNS
  • IAM
  • Secret Manager
  • Cloud KMS
  • Cloud Logging and Cloud Monitoring
  • Pub/Sub
• Implement Kubernetes networking, RBAC, secrets management, ingress, autoscaling, service discovery, and workload security.
• Implement GCP cost optimization strategies across compute, storage, networking, and Kubernetes workloads.

Monitoring, Observability & SRE

• Implement enterprise monitoring and observability using Google Cloud Monitoring, Cloud Logging, Prometheus, Grafana, OpenTelemetry, Splunk, Zabbix, and Dynatrace.
• Define and maintain SLIs, SLOs, and SLAs for critical applications and infrastructure.
• Configure centralized logging, metrics, distributed tracing, dashboards, and alerting.
• Integrate monitoring with Slack and PagerDuty for real-time alerting and incident response.
• Participate in on-call rotations and troubleshoot critical production incidents.
• Lead post-incident reviews, root-cause analysis (RCA), and corrective/preventive action planning.
• Continuously improve platform reliability, deployment performance, and operational efficiency.

Security, Disaster Recovery & Operational Excellence

• Implement GCP security best practices including:
  • IAM and least-privilege access
  • Workload Identity
  • Secret Manager
  • Cloud KMS
  • VPC Service Controls
  • Organization Policies
  • Branch protection
  • GitHub Secrets
  • RBAC
  • Signed commits
• Implement automated security scanning and compliance checks within CI/CD pipelines.
• Design automated backup, disaster recovery, rollback, and business continuity strategies.
• Support environments requiring RTO <15 minutes and RPO <5 minutes.
• Conduct regular disaster recovery and failover exercises.
• Optimize deployment processes with a goal of reducing deployment time from approximately 30 minutes to less than 5 minutes.
• Improve infrastructure utilization and storage efficiency.
• Maintain detailed technical documentation, runbooks, architecture diagrams, and operational procedures.
• Mentor junior DevOps, Cloud, and SRE engineers.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field, or equivalent experience.
• 7+ years of experience in DevOps, SRE, Infrastructure Automation, Cloud Engineering, or Platform Engineering.
• Strong production-level expertise in Google Cloud Platform (GCP), GKE, ArgoCD, GitHub Actions, and Terraform.
• Proven experience designing and implementing enterprise-scale CI/CD pipelines.
• Strong hands-on experience with GKE / Kubernetes, Docker, Helm, Kustomize, and GitOps.
• Strong experience with GitHub Actions and CI/CD automation.
• Strong Infrastructure as Code experience using Terraform.
• Strong scripting/programming skills in Python, Bash, PowerShell, and/or Groovy.
• Experience with Ansible, Puppet, or Chef.
• Hands-on experience with:
  • GCP
  • GKE
  • Google Artifact Registry
  • Cloud SQL / database deployment automation
  • IAM
  • VPC
  • Cloud Storage
  • Secret Manager
  • Cloud Monitoring
  • Cloud Logging
  • Docker
  • Kubernetes
• Experience with AWS or Azure is a plus.
• Strong knowledge of monitoring, observability, and logging platforms.
• Experience integrating DevOps platforms with Jira, Slack, and PagerDuty.
• Experience supporting high-availability and mission-critical production environments.
• Strong troubleshooting, analytical, communication, and stakeholder-management skills.
• Experience with cloud security, compliance, disaster recovery, and production incident management.