Required Qualifications:-10+ years of experience in Site Reliability Engineering, Software Engineering, Infrastructure Engineering, or Cloud Platform Engineering-Extensive hands-on experience designing, implementing, and operating highly automated, production-grade cloud platforms on Google Cloud Platform (GCP)-Deep understanding of Site Reliability Engineering principles, reliability frameworks, error budgets, incident management, and operational excellence-Proven experience developing infrastructure automation using Terraform, Python, Go, Java, or Ansible-Extensive experience with GCP services including:Identity and Access Management (IAM)Cloud DNSVirtual Private Cloud (VPC)Cloud Load BalancingCloud StorageCompute EngineGoogle Kubernetes Engine (GKE)Cloud Logging and Cloud MonitoringCloud Asset InventorySecurity Command Center-Experience managing complex identity and authentication ecosystems involving: Google Cloud IAMWorkforce Identity FederationActive DirectoryPing IdentityOktaSAML/OIDC-based Single Sign-On solutions-Experience operating secure cloud environments across multiple folders, projects, and environments at enterprise scale-Strong knowledge of cloud networking including DNS, routing, private connectivity, firewalls, load balancing, service perimeters, and hybrid connectivity-Excellent interpersonal, organizational, written, verbal, and presentation skills-Proven ability to work independently while collaborating effectively across global teams and managing competing prioritiesDesired Qualifications:-Proven experience implementing Security as Code and Policy as Code using Terraform Enterprise, GitHub, GitHub Actions, Cloud Build, or similar CI/CD platforms-Experience implementing Infrastructure as Code (IaC) guardrails and governance controls for regulated environments-Strong understanding of cloud security frameworks and compliance requirements in large financial institutions-Experience with Kubernetes platform engineering, container lifecycle management, and workload reliability on Google Kubernetes Engine (GKE)-Experience with Linux administration, shell scripting, automation frameworks, and cloud-native troubleshooting-Experience implementing, monitoring, and supporting Google AI and data services including:Vertex AIGemini ModelsBigQueryCloud StorageAI Platform services-Hands-on experience with cloud observability platforms including: Cloud MonitoringCloud LoggingManaged PrometheusGrafanaSplunkDynatrace-Experience managing cloud resiliency, disaster recovery, and service reliability at enterprise scale-Knowledge of cloud governance, risk management, identity lifecycle management, and least-privilege access controls-Experience supporting highly regulated cloud environments subject to audit, compliance, and operational risk requirementsSkills:InfluenceRisk ManagementSolution DesignStakeholder ManagementTechnical Strategy DevelopmentAnalytical ThinkingApplication DevelopmentCollaborationResult OrientationSolution Delivery ProcessGoogle CloudShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age. You will define and measure platform health through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets, participate in a global support model, and drive operational excellence across Bank of America's Google Cloud ecosystem.