Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

STAFF DATA & PLATFORM ENGINEER

📍 NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY

ABOUT AVANTOS

Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making.

We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure.

THE ROLE

We’re looking for a Staff Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems.

This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably.

WHAT YOU’LL DO

- Design and implement core backend systems and integrations that power the product.

- Design and build our data platform (orchestration, pipelines, developer workflows)

- Create scalable systems for data ingestion, transformation, and access

- Design data models and APIs that won’t collapse under growth.

- Make sane decisions about schemas, indexes, migrations, and performance.

- Own infrastructure for data + AI workloads (containers, orchestration, cloud services)

- Enable self-serve data workflows for engineering and product teams

- Improve observability, reliability, and performance across the data stack

- Support AI/ML systems (embeddings, vector data, model pipelines)

- Build tooling for document processing, metadata, and normalization

WHAT WE’RE LOOKING FOR

- 7+ years in data engineering, platform engineering, or backend infrastructure

- A track record of shipping and owning production systems.

- Strong systems thinking (not just pipelines — platform mindset)

- Backend system design and API design

- Data modeling and relational databases

- Performance, reliability, and failure modes

- Proficiency in Golang, SQL, Terraform, AWS

- Comfort in a fast-moving startup environment

BONUS

- LLMs / RAG, vector search, fintech or regulated systems

- Have startup or early-stage experience.

WHY JOIN

- Build the foundation layer of an AI-native product

- High ownership + direct impact

- Work where data, platform, and AI converge

THE FIT

You’re someone who doesn’t just move data — you build the systems that make data usable at scale.