Senior Product Owner

Capgemini • New York, NY

27d • $71,774 - $105,000

About The Position

Capgemini is hiring a Senior Product Owner to operate and develop a secure, reliable, cost-effective Google Cloud platform for client workloads. The role covers the cloud foundation and landing zone, security boundaries, data and application services, infrastructure automation, release management, observability, disaster recovery, and FinOps. The platform must provide predictable latency and per-client isolation for the agentic layer it supports. The position also involves client-facing consulting delivery, translating business requirements into technical specifications, and providing control evidence supporting regulatory alignment.

The role requires at least five years of cloud or platform engineering experience, including production Google Cloud experience, and strong expertise across GCP infrastructure, security, and data services. The posted base compensation range is 71,774–105,000; eligible additional compensation may include variable incentives, bonuses, or commissions. Capgemini provides a benefits package to regular full-time employees, with details depending on local policy and eligibility.

Requirements

• At least 5 years of cloud or platform engineering experience, including production Google Cloud experience.
• Deep GCP fluency, including IAM, VPC and Private Service Connect, VPC Service Controls, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and Cloud KMS.
• Experience with Terraform and CI/CD for cloud infrastructure.
• GCP security engineering experience, including organization policy, audit logging, secrets management, CMEK, and Sensitive Data Protection.
• Experience designing observability, including Cloud Monitoring, Logging, alerting, and service-level objectives.
• Strong scripting skills in Python or Bash and working SQL skills for BigQuery administration.
• Experience in regulated industries; financial services is ideal, with knowledge of data residency, consent frameworks, GLBA, Fair Lending, and UDAAP.
• Ability to work in client-facing consulting delivery contexts and translate business requirements into technical specifications.

Nice To Haves

• Google Cloud Professional certification, such as Cloud Architect, Cloud Security Engineer, or Cloud DevOps Engineer.
• Production experience operating Spanner, including Spanner Graph, Dataflow, and Datastream.
• Databricks on GCP deployment experience, including workspaces, networking, and Unity Catalog storage setup.
• Multi-tenant isolation design and per-tenant cost allocation experience.
• Experience with infrastructure for clean rooms and privacy-preserving data exchange.
• Familiarity with agent observability tooling such as LangSmith and LangGraph as a platform operator.

Responsibilities

• Design and operate the Google Cloud resource hierarchy, including organizations, folders, projects by environment and tenant, organization policy, and labels.
• Manage identity and access, including IAM roles, service accounts, Workload Identity Federation, short-lived credentials, and least-privilege reviews.
• Own network design and operation, including VPCs, Private Google Access, Private Service Connect, firewall policy, and DNS.
• Implement VPC Service Controls perimeters and a controlled egress gate between client and Capgemini environments.
• Manage encryption and secrets using Cloud KMS, customer-managed keys, Secret Manager, and key rotation.
• Run Sensitive Data Protection scanning and de-identification at the landing boundary, and maintain audit logging and retention for PII reads.
• Provide control evidence supporting GLBA, Fair Lending, UDAAP, and TCPA/CAN-SPAM alignment.
• Operate data services including Cloud Storage lifecycle and retention, BigQuery administration and security, Pub/Sub, Dataflow, Datastream, and Spanner, including Spanner Graph.
• Operate application services including Cloud Run, Artifact Registry, Cloud Build, Cloud Scheduler, and Workflows, including runtime settings, scaling, and concurrency.
• Provide the foundation required for Databricks on GCP, including projects, VPCs, service accounts, and GCS buckets.
• Provision infrastructure as code with Terraform, CI/CD promotion gates, policy-as-code checks, and drift detection.
• Manage Cloud Run releases, including revisions, traffic splitting, rollback, and image hygiene.
• Own Cloud Logging, Monitoring, and Trace, including service-level objectives, alerting, runbooks, and incident response.
• Design disaster recovery and high availability, including backups, regional and multi-region choices, and RPO and RTO targets.
• Manage FinOps, including billing export to BigQuery, budgets and alerts, labels, committed use and reservation decisions, and cost allocation per tenant.
• Meet the serving contract required by the agentic layer, including predictable latency and per-client isolation.
• Translate business requirements into technical specifications in client-facing consulting delivery contexts.

Benefits

• Paid time off based on employee grade, including 12–25 vacation days depending on grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed