Data Infrastructure Engineer Jobs

Orbis Consultants

Location:
United States, New York or DC

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Data Infrastructure Engineer – New York or DC (hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up. This young, early-stage start-up challenger are currently looking for a hands-on Data Infrastructure Engineer to join their small team and help drive the business forwards. This could be an excellent opportunity for an experienced Data Infrastructure Engineer with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space. This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.

Job Responsibility:

Joining as part of the founding Engineering team, you will be a key part of developing secure data sharing middleware
Their software will integrate seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
The data infrastructure engineer requires a mix of software development and ML Ops practices, resulting in an exciting, fast paced engineering role
You will be able to demonstrate experience building, shipping and supporting mission critical services in support of the services that make up the Data platform
This role requires the ability to provide solutions for the full data stack – from the data management, software development and model and deployment lifecycles

Requirements:

Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
Designing and deploying intuitive, user-friendly APIs
Demonstrated ability to train and deploy models at scale
Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
Handling and securing large-scale production data
Demonstrated proficiency in Python, Go, or C
A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
A passion for innovation and a collaborative spirit

Nice to have:

Skills in building and deploying ML-operated Search at scale
Experience in infrastructure management (Docker, Kubernetes, AWS)
Expertise in encryption, authentications3, DevOps, or SRE

What we offer:

Competitive Salary + Equity

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Infrastructure Engineer