Senior Cloud Engineer, GCP

Role Overview

• Design and deploy cloud infrastructure using core GCP services such as Compute Engine, Cloud Storage, Cloud SQL, IAM, VPC, and Cloud CDN, ensuring high availability and fault tolerance.
• Deploy, manage, and scale Container orchestration systems using Google's Managed Container Orchestration Platform, ensuring high availability, secure networking, and efficient resource utilization.
• Develop secure, compliant GCP environments by configuring IAM roles/policies, Service Accounts, Workload Identity Federation, Cloud KMS encryption, firewall rules, and Private Service Connect.
• Implement Workload Identity to enable secure, keyless authentication between GKE workloads and GCP services, eliminating the need for service account keys.
• Manage Service Accounts with least-privilege principles, including key rotation policies and access reviews.
• Configure logging, monitoring, and alerting with Cloud Monitoring, Cloud Logging, and Security Command Center to support observability and incident response.
• Enforce security and compliance controls via IAM policy audits, Service Account audits, patching schedules, and automated backup strategies.
• Monitor infrastructure health, respond to incidents, and maintain SLAs through proactive alerting and runbook execution.
• Collaborate with data science teams to deploy machine learning models using Vertex AI, managing model training, hosting, and monitoring.
• Automate and schedule data processing workflows using Cloud Dataflow, Cloud Composer (Apache Airflow), Cloud Functions, and Cloud Scheduler to support ML pipelines.
• Optimize infrastructure for cost and performance using Cloud Monitoring metrics, auto-scaling, Committed Use Discounts, and Sustained Use Discounts.
• Write and maintain Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager for repeatable, automated infrastructure deployments.
• Implement disaster recovery, backups, and versioned deployments using Cloud Storage versioning, Cloud SQL snapshots, and Deployment Manager templates.
• Set up and manage CI/CD pipelines using GCP services like Cloud Build, Artifact Registry, and Cloud Deploy to support application and model deployments.
• Manage and optimize real-time inference pipelines using Vertex AI Endpoints, Cloud Run, and Cloud Functions with API Gateway to ensure reliable, scalable model serving.
• Support containerized AI workloads using Google's Managed Container Orchestration Platform or Cloud Run, including model serving and microservices for AI-based features.
• Maintain secondary proficiency in AWS services (EC2, S3, RDS, EKS, SageMaker, IAM roles) to support multi-cloud initiatives and hybrid deployments.
• Collaborate with SecOps and SRE teams to uphold security baselines, manage change control, and conduct root cause analysis for outages.
• Participate in code reviews, design discussions, and architectural planning to ensure scalable and maintainable cloud infrastructure.
• Maintain accurate and up-to-date infrastructure documentation, including architecture diagrams, access control policies, and deployment processes.
• Collaborate cross-functionally with application, data, and security teams to align cloud solutions with business and technical goals.
• Stay current with GCP, AWS, and AI/ML advancements, suggesting improvements or new service adoption where applicable.

Requirements

• BA/BS in computer science, information technology, or a related field.
• 8+ years of experience in cloud engineering or related roles, specifically with GCP as primary cloud platform.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.
• Knowledge of container orchestration and microservices architecture.
• Familiarity with security best practices in cloud environments, including Service Accounts and Workload Identity.
• Working knowledge of AWS services to support secondary cloud requirements.

Tech Stack

• Airflow
• Apache
• AWS
• Cloud
• EC2
• Google Cloud Platform
• Microservices
• SQL
• Terraform

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.