Designing and deploying scalable, highly available, and fault-tolerant systems on Google Cloud Platform (GCP).
Managing and provisioning GCP infrastructure using Infrastructure as Code tools such as Terraform or Google Cloud Deployment Manager.
Automating GCP operations using scripting languages like Python or Bash and GCP SDKs or APIs.
Configuring and managing virtual machines in Compute Engine, including setting up auto-scaling and load balancing.
Implementing and maintaining network architectures within GCP, including Virtual Private Cloud (VPC), subnets, firewalls, and VPNs.
Setting up and administering databases in GCP, such as Cloud SQL, Cloud Spanner, or Firestore, including performance tuning and disaster recovery planning.
Ensuring data security and compliance by implementing GCP security best practices, managing IAM roles and permissions, and using tools like Cloud Security Command Center.
Monitoring, logging, and diagnosing infrastructure problems using GCP operations suite (formerly Stackdriver) or third-party tools.
Developing and maintaining CI/CD pipelines for automated code deployment using Google Cloud Build, Source Repositories, and Container Registry.
Working with containers and orchestrating them using Google Kubernetes Engine (GKE), including cluster management and deployment strategies.
Optimizing GCP costs and resource usage, providing cost estimates and reports, and implementing cost-saving strategies.
Collaborating with development teams to architect and support application deployment strategies that leverage GCP services like App Engine, Cloud Functions, and Cloud Run.
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When crafting a GCP Engineer resume, it's crucial to highlight your expertise in leading large-scale cloud migrations and the tangible benefits they bring, such as significant improvements in application performance and cost reductions. Showcase your technical prowess in building and optimizing CI/CD pipelines, container orchestration with GKE, and implementing cost-saving measures that demonstrate a deep understanding of GCP's suite of services. Additionally, emphasize your ability to design resilient multi-region network infrastructures, integrate advanced technologies like machine learning, and maintain a robust security posture, as these are key indicators of your capacity to handle complex, high-stakes cloud environments.
Accomplished GCP Engineer with a robust history of orchestrating large-scale cloud migrations, enhancing performance, and driving cost efficiency in enterprise environments. Recognized for leading the development of disaster recovery strategies and data analytics platforms, resulting in a 75% reduction in potential downtime and a 20% increase in business efficiency. Adept at implementing CI/CD pipelines, optimizing GCP costs to save $500K annually, and bolstering system reliability and security, demonstrating a relentless commitment to technical excellence and operational improvement.
01/2023 – 04/2023
-Orchestrated the migration of 50+ enterprise workloads to GCP within a 12-month period, achieving a 40% improvement in application performance and a 30% reduction in infrastructure costs.
-Developed a comprehensive disaster recovery strategy that decreased potential downtime by 75%, ensuring business continuity for critical operations.
-Implemented a GCP-based data analytics platform that processed terabytes of data daily, providing actionable insights that increased overall business efficiency by 20%.
09/2022 – 12/2022
Smart Capital LLC
-Engineered a robust CI/CD pipeline using Google Cloud Build, which streamlined deployment processes and led to a 50% reduction in time-to-market for new features.
-Led the adoption of GKE for container orchestration across the organization, resulting in a 60% improvement in deployment frequency and a 99.9% uptime for high-traffic applications.
-Executed a GCP cost optimization initiative that saved the company $500K annually by identifying underutilized resources and implementing rightsizing recommendations.
Cloud Infrastructure Engineer
07/2022 – 09/2022
Rapid Enterprises Corp
-Designed and deployed a secure and scalable multi-region GCP network infrastructure, enhancing system reliability by 99.99% and supporting a 100% increase in global user traffic.
-Collaborated with cross-functional teams to integrate advanced machine learning models into the cloud platform, boosting predictive analytics accuracy by 35%.
-Revamped the company's data security posture on GCP by enforcing IAM best practices and leveraging Cloud Security Command Center, resulting in zero security breaches over a two-year period.
SKILLS & COMPETENCIES
Google Cloud Platform (GCP) expertise
Cloud infrastructure migration and management
Disaster recovery planning and implementation
Data analytics and processing on GCP
Continuous Integration/Continuous Deployment (CI/CD) with Google Cloud Build
Google Kubernetes Engine (GKE) for container orchestration
Cost optimization and resource management on GCP
Design and deployment of multi-region network infrastructure
Machine Learning model integration on cloud platforms
Identity and Access Management (IAM) on GCP
Security and compliance management with Cloud Security Command Center
Performance tuning and optimization of enterprise workloads
Technical leadership and cross-functional collaboration
Scripting and automation with tools like Terraform and Ansible
Monitoring and logging with Stackdriver (now called Google Cloud Operations)
Big data technologies and services on GCP
API development and management
Understanding of networking concepts (VPC, CDN, VPN, etc.)
Proficiency in programming languages such as Python, Java, and Go
Knowledge of SQL and NoSQL databases on GCP
COURSES / CERTIFICATIONS
Bachelor of Science in Cloud Computing
2016 - 2020
University of Maryland Global Campus