Data Infrastructure Engineer Jobs

Orbis Consultants

Location:
United States, New York City Metropolitan Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

A venture-backed startup at the intersection of AI and national security is building the next generation of secure data sharing technology – and they’re looking for a Data focused Infrastructure Engineer to join the founding team. This is an opportunity to work on systems where speed, scale, and security are mission-critical. You’ll design and deploy infrastructure that supports ML-powered applications, ensuring sensitive data can move seamlessly and securely across highly complex environments.

Job Responsibility:

Build and maintain the data pipelines and infrastructure that power ML applications
Deploy and manage models at scale, from training through production
Design APIs and services that integrate smoothly into mission-critical workflows
Ensure data is handled and secured properly across large, distributed environments
Collaborate closely with a small, fast-moving team to solve hard technical problems in real-world settings

Requirements:

Strong engineering experience in Python, Go, or C
Experience building and scaling production data systems
Hands-on expertise with model deployment and ML Ops practices
Knowledge of database design, performance tuning, and operations
Someone who thrives in early-stage, fast-paced environments and enjoys tackling complex challenges

Nice to have:

Experience in defence, intelligence, or government systems
Background in enterprise-scale search or ML-powered infrastructure
Familiarity with Kubernetes, Docker, and AWS
Skills in encryption, authentication, DevOps, or SRE practices

What we offer:

Significant equity
Strong health & wellness benefits

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Infrastructure Engineer