Capgemini
Senior Product Owner
New York, NY, US · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$28,066 more — $99,840 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $99,840 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Run Sensitive Data Protection (DLP) scanning and de-identification at the landing boundary, with audit logging and retention for PII reads
- Provision everything as code with Terraform, with CI/CD promotion gates, policy-as-code checks, and drift detection
Responsibilities
- Design and operate the Google Cloud resource hierarchy: organization, folders, and projects per environment and per tenant, with organization policy and labels
- Own identity and access: IAM roles (predefined and custom), service accounts, Workload Identity Federation, short-lived credentials, and least-privilege reviews
- Own networking: VPC design, Private Google Access, Private Service Connect, firewall policy, and DNS
- Implement VPC Service Controls perimeters and the controlled egress gate between the client and Capgemini environments
- Own encryption and secrets: Cloud KMS with customer-managed keys, Secret Manager, and key rotation
- Provide the control evidence that supports GLBA, Fair Lending, UDAAP, and TCPA/CAN-SPAM alignment
- Operate the application tier: Cloud Run services, Artifact Registry, Cloud Build, Cloud Scheduler, and Workflows, including run-time settings, scaling, and concurrency
Requirements
- Experience in regulated industries, ideally financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP
- Ability to operate in client-facing consulting delivery contexts, translating business requirements into technical specifications
Nice to have
- Google Cloud Professional certification (Cloud Architect, Cloud Security Engineer, or Cloud DevOps Engineer)
- Operating Spanner (including Spanner Graph), Dataflow, and Datastream in production
- Databricks on GCP deployment: workspaces, networking, and Unity Catalog storage setup
- Infrastructure for clean rooms and privacy-preserving data exchange
- Familiarity with agent observability tooling (LangSmith, LangGraph) as a platform operator
- Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.
- The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.
- This range may be subject to change as permitted by law.
Skills
- 5+ years of cloud or platform engineering experience, including production Google Cloud
- Terraform and CI/CD for cloud infrastructure
Compensation
- $72k-$105k
This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.