IND Staff Engineer, Reliability

IND Staff Engineer, Reliability - GCC070

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Cloud   Services Team is searching for a Reliability Engineer .   Candidate must have hands-on experience   operating   and engineering services on Google Cloud Platform (GCP), including data,   compute , and observability services . The team is accountable for the operations, engineering, and governance of 200+ Cloud Technologies across a multiple cloud environment.   Role requires helping mature operational practices for GCP workloads as part of our multi-cloud strategy.   This is an excellent opportunity for someone who is interested in a   mix   of strategy and hands-on work .    The ideal candidate should feel comfortable working with teammates at all levels of the   organization   including leadership.  

Key Responsibilities  

• Assists   in the development,   maintenance   and operations of IT services across 200+   infra   services across our Cloud transformation landscape.  

• Develop solutions and drive   adoption of enterprise solutions such as Cyber Protection, Disaster Recovery, and Security enhancements, across   Line   of business teams.  

• Drive improvement, through automation, of software delivered as a service from an   efficiency   and simplicity perspective .  

• Provide clear operational documents and construction/support specifications to   IT   userbase .  

• Provide insight into operational Metrics across the entire Cloud Environment.   

• Consult with customers on any new requirements or design questions or functionality configurations for environments on and off premise  

• Delivers the tooling and capabilities needed to enable cloud compliance, metrics and reporting and cost   management   roadmap and strategy.  

• Participate in incident resolution and change   implementation   as necessary. This may occasionally include support during   non standard   hours .  

• Operate and improve reliability for production workloads running on Google Cloud Platform (GCP), focusing on availability, scalability, and operational readiness rather than application development.  

• Own day ‑ to ‑ day operational concerns for core GCP services including Compute Engine, GKE, Cloud Run,   BigQuery , Cloud Storage, and supporting platform services.  

• Provide operational support for   BigQuery   platforms including job performance troubleshooting, capacity planning, quota management, dataset permissions, and cost optimization (slot usage, reservations, and quotas).  

• Support Vertex AI platforms from an operations and reliability standpoint, including environment readiness, access controls, monitoring, pipeline execution health, and incident response (not model development).  

• Build and   maintain   observability standards using Cloud Monitoring, Cloud Logging, Error Reporting, and custom SLI/SLO dashboards for GCP workloads.  

• Implement alerting strategies aligned to error budgets and production reliability goals; reduce alert noise and prevent toil.  

• Execute incident response, triage, and post ‑ incident analysis for GCP services, contributing to PIRs and corrective actions.  

• Develop and   maintain   runbooks, operational playbooks, and escalation workflows for GCP services.  

• Drive automation-first operations, including self ‑ healing patterns using Cloud Functions, Cloud Run jobs, Scheduler, and event ‑ driven remediation.  

• Enforce and operate GCP security and governance controls, including IAM, service accounts, Org Policies, VPC Service Controls, KMS, Secret Manager, and networking guardrails.  

• Partner with engineering and data teams to review designs for operability, resiliency, and supportability, ensuring workloads meet production readiness standards before   launch .  

Required Skills & Experience :   

• Expert   understanding of   how applications should be engineered by following fault tolerate best practices, separation of duties, observability, and being operator friendly.  

• Expert on being   Self-motivated and results-oriented with the ability to work in a team environment and independently  

• Strong hands-on experience with   BigQuery , including performance tuning, cost management, and governance.  

• Experience with Vertex AI, including pipelines, model deployment, model monitoring, and integration with   BigQuery .  

• Deep knowledge of Cloud IAM, service accounts, Workload Identity Federation, and principle-of-least-privilege controls.  

• Experience with GKE operations (clusters, node pools, autoscaling, workload identity, Istio/Anthos optional).  

• Understanding of   Cloud Storage, Pub/Sub, Dataflow,   Dataproc , and Cloud Composer for data/ML workflows.  

• Experience building CI/CD pipelines targeting GCP using Cloud Build, Artifact Registry, and Terraform.  

• Ability to troubleshoot GCP networking: VPCs,   firewall   rules, private service access, interconnects/VPN.  

Nice to Have   

• Intermediate   knowledge of   Terraform   and Cloud Formation   required .  

• Intermediate Microsoft office skills  

• Hands-on experience with advanced GCP services such as Vertex AI,   BigQuery , Dataflow, Pub/Sub, Cloud Run, and GKE.  

• Experience creating org-level policies, security baselines, and automation patterns for GCP environments  

What We Offer  

• Collaborative work environment with global teams.  

• Competitive compensation and comprehensive benefits.  

• Continuous learning and growth opportunities in geospatial and risk analytics technologies.  

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