{"id":1338062,"url":"https://alion.io/job/the-hartford-ind-staff-engineer-reliability","title":"IND Staff Engineer, Reliability","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":29,"ghost_share":0,"stale_share":0.828,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":44000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1531},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Istio","optional":false},{"name":"Least Privilege","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"VPN","optional":false},{"name":"Kubernetes","optional":true},{"name":"Microsoft Office","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-19T22:59:04Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"IND Staff Engineer, Reliability - GCC070We’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.\nCloudServices Team is searching for a Reliability Engineer.Candidate must have hands-on experienceoperatingand 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 amixof strategy and hands-on work. The ideal candidate should feel comfortable working with teammates at all levels of theorganizationincluding leadership.\nKey Responsibilities\nAssistsin the development,maintenanceand operations of IT services across 200+infraservices across our Cloud transformation landscape.\n\nDevelop solutions and driveadoption of enterprise solutions such as Cyber Protection, Disaster Recovery, and Security enhancements, acrossLineof business teams.\n\nDrive improvement, through automation, of software delivered as a service from anefficiencyand simplicity perspective.\n\nProvide clear operational documents and construction/support specifications toITuserbase.\n\nProvide insight into operational Metrics across the entire Cloud Environment.\n\nConsult with customers on any new requirements or design questions or functionality configurations for environments on and off premise\n\nDelivers the tooling and capabilities needed to enable cloud compliance, metrics and reporting and costmanagementroadmap and strategy.\n\nParticipate in incident resolution and changeimplementationas necessary. This may occasionally include support duringnon standardhours.\n\nOperate and improve reliability for production workloads running on Google Cloud Platform (GCP), focusing on availability, scalability, and operational readiness rather than application development.\n\nOwn day-to-day operational concerns for core GCP services including Compute Engine, GKE, Cloud Run,BigQuery, Cloud Storage, and supporting platform services.\n\nProvide operational support forBigQueryplatforms including job performance troubleshooting, capacity planning, quota management, dataset permissions, and cost optimization (slot usage, reservations, and quotas).\n\nSupport Vertex AI platforms from an operations and reliability standpoint, including environment readiness, access controls, monitoring, pipeline execution health, and incident response (not model development).\n\nBuild andmaintainobservability standards using Cloud Monitoring, Cloud Logging, Error Reporting, and custom SLI/SLO dashboards for GCP workloads.\n\nImplement alerting strategies aligned to error budgets and production reliability goals; reduce alert noise and prevent toil.\n\nExecute incident response, triage, and post-incident analysis for GCP services, contributing to PIRs and corrective actions.\n\nDevelop andmaintainrunbooks, operational playbooks, and escalation workflows for GCP services.\n\nDrive automation-first operations, including self-healing patterns using Cloud Functions, Cloud Run jobs, Scheduler, and event-driven remediation.\n\nEnforce and operate GCP security and governance controls, including IAM, service accounts, Org Policies, VPC Service Controls, KMS, Secret Manager, and networking guardrails.\n\nPartner with engineering and data teams to review designs for operability, resiliency, and supportability, ensuring workloads meet production readiness standards beforelaunch.\n\nRequired Skills & Experience:\nExpertunderstanding ofhow applications should be engineered by following fault tolerate best practices, separation of duties, observability, and being operator friendly.\n\nExpert on beingSelf-motivated and results-oriented with the ability to work in a team environment and independently\n\nStrong hands-on experience withBigQuery, including performance tuning, cost management, and governance.\n\nExperience with Vertex AI, including pipelines, model deployment, model monitoring, and integration withBigQuery.\n\nDeep knowledge of Cloud IAM, service accounts, Workload Identity Federation, and principle-of-least-privilege controls.\n\nExperience with GKE operations (clusters, node pools, autoscaling, workload identity, Istio/Anthos optional).\n\nUnderstanding ofCloud Storage, Pub/Sub, Dataflow,Dataproc, and Cloud Composer for data/ML workflows.\n\nExperience building CI/CD pipelines targeting GCP using Cloud Build, Artifact Registry, and Terraform.\n\nAbility to troubleshoot GCP networking: VPCs,firewallrules, private service access, interconnects/VPN.\n\nNice to Have\nIntermediateknowledge ofTerraformand Cloud Formationrequired.\n\nIntermediate Microsoft office skills\n\nHands-on experience with advanced GCP services such as Vertex AI,BigQuery, Dataflow, Pub/Sub, Cloud Run, and GKE.\n\nExperience creating org-level policies, security baselines, and automation patterns for GCP environments\n\nWhat We Offer\nCollaborative work environment with global teams.\n\nCompetitive compensation and comprehensive benefits.\n\nContinuous learning and growth opportunities in geospatial and risk analytics technologies.\n\nAbout Us | Our Culture | What It’s Like to Work Here","description_format":"text","description_chars":5475,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth 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