IND Staff Engineer, Reliability - GCC070 We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. 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** + Assistsin the development,maintenanceand operations of IT services across 200+infraservices across our Cloud transformation landscape. + Develop solutions and driveadoption of enterprise solutions such as Cyber Protection, Disaster Recovery, and Security enhancements, acrossLineof business teams. + Drive improvement, through automation, of software delivered as a service from anefficiencyand simplicity perspective. + Provide clear operational documents and construction/support specifications toITuserbase. + 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 costmanagementroadmap and strategy. + Participate in incident resolution and changeimplementationas necessary.



This may occasionally include support duringnon standardhours. + 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 forBigQueryplatforms 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 andmaintainobservability 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 andmaintainrunbooks, 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 beforelaunch. **Required Skills & Experience** : + Expertunderstanding ofhow applications should be engineered by following fault tolerate best practices, separation of duties, observability, and being operator friendly. + Expert on beingSelf-motivated and results-oriented with the ability to work in a team environment and independently + Strong hands-on experience withBigQuery, including performance tuning, cost management, and governance. + Experience with Vertex AI, including pipelines, model deployment, model monitoring, and integration withBigQuery. + 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 ofCloud 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,firewallrules, private service access, interconnects/VPN. **Nice to Have** + Intermediateknowledge ofTerraformand Cloud Formationrequired. + 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** + Team-oriented work environment with global teams. + Competitive compensation and comprehensive benefits. + Continuous learning and growth opportunities in geospatial and risk analytics technologies.

📌 IND Staff Engineer, Reliability (Hyderabad)
🏢 The Hartford
📍 Hyderabad