Data Infrastructure Engineer

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 is currently looking for a hands-on Data Infrastructure Engineer to join their small team and help drive the business forward.

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.

About the Company:

This very young company, who were founded less than 2 years ago, have taken big strides in their space already!

With their ambitious product vision in AI and ML, you will tackle interesting technical challenges that push the boundaries of what’s possible.

There is the opportunity to work within a complex codebase, own entire product points, and build new features end-to-end.

Everything they do is entrenched in achieving engineering excellence.

They are a meritocratic, mission-driven organisation focused on technical excellence, practical innovation, and meaningful impact with the aim of solving real problems through cutting-edge AI technology.

Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation.

About the Data Infrastructure Engineer Vacancy:

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 specialised 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.

Ideal Requirements for the Data Infrastructure Engineer Vacancy:

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

Apply to the Role:

Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com