IND Staff Engineer, Reliability

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

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

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

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

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

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Provide insight into operational Metrics across the entire Cloud Environment.

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

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

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

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

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

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

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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).

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

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

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

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

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

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

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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 :

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

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

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

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

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

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

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

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

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

Nice to Have

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Intermediate   knowledge of   Terraform   and Cloud Formation   required .

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Intermediate Microsoft office skills

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

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

What We Offer

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Collaborative work environment with global teams.

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Competitive compensation and comprehensive benefits.

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

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