Ford Motor Company
United States
Consulting Architect
- AI
- Cloud
- Cloud Native
- GCP
T
Senior Platform Engineer (Scientific Data Infrastructure)
Relocation
AI Summary
Lead platform engineering for a scientific data infrastructure team, designing architecture, security, and scalability for a unified knowledge base. Build ingestion pipelines, APIs, microservices, and knowledge graphs while establishing engineering practices and growing the team. Requires 5+ years of platform/infrastructure engineering experience with Kubernetes, Terraform, and production backend systems.
Key Highlights
5+ years of platform/infrastructure engineering experience required
Own architecture, security, and scalability of a scientific data infrastructure platform
Hands-on expertise with Kubernetes, Terraform, Ansible, and CI/CD systems
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Key Responsibilities
Design and build production ingestion pipelines, APIs, and microservices for data normalization
Operate knowledge graphs and vector search systems for hybrid retrieval workloads
Own Kubernetes-based cloud infrastructure, CI/CD, observability, and security controls
Set engineering standards through architecture and code reviews, mentoring, and team building
Technical Skills Required
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Benefits & Perks
Base salary: $220,000 to $300,000 annually
Relocation assistance available
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Nice to Have
Biotech data experience
SOC 2 or similar compliance experience
Familiarity with TypeDB/TypeQL, Qdrant, and OpenTelemetry
Job Description
About the Role
Lead platform engineering for a scientific data infrastructure team building a foundational platform that turns diverse laboratory data into a unified, queryable knowledge base. You will own its architecture, security, and scale while establishing engineering practices and helping grow the team.
What You'll Do
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