Confido
United States
New
DevOps Engineer
- AI
- AWS
- Cloud
- Cloud Security
T
Senior Platform Engineer (Data Infrastructure)
Relocation
AI Summary
Key Highlights
Leadership role shaping platform architecture, security, and scalability for a data infrastructure company.
Hands-on development in Go/Python, Kubernetes, Terraform, and CI/CD systems.
Focus on data ingestion, knowledge graphs, vector search, and security controls for production systems.
Key Responsibilities
Design and maintain production ingestion pipelines, APIs, and microservices for scientific data normalization.
Manage knowledge graphs and vector search systems for semantic and structured data retrieval.
Develop high-concurrency services in Go/Python with controlled agent boundaries and isolated execution environments.
Design security controls for authentication, tenant isolation, secrets management, and zero-trust access.
Oversee cloud infrastructure, CI/CD pipelines, observability, and establish service-level objectives.
Set engineering standards, mentor team members, and contribute to team design and recruitment efforts.
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Technical Skills Required
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Benefits & Perks
Base salary range: $220,000 to $300,000 annually
Relocation assistance available
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Nice to Have
Biotech data systems experience
Computational biology knowledge
SOC 2 or similar compliance experience
Job Description
About the Role
Join the platform engineering team at a data infrastructure company building tools that turn fragmented laboratory data into a unified, queryable resource for scientists and AI systems. As the senior engineering anchor, you will shape the architecture, security, and scale of this foundational platform.
What You'll Do
Own the platform's architecture, execution, security posture, and scaling strategy.
Build and maintain production ingestion pipelines, APIs, microservices, and storage layers that normalize diverse scientific data while preserving provenance.
Manage knowledge graphs and vector search systems to support combined semantic and structured retrieval.
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