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Avantos · Posted 5mo ago

Staff Data and Platform Engineer

HybridSenior
Location
🇺🇸 New York City, United States
Contract
Full-time
Role
Data engineering
Source
Employer’s own job board (Ashby)

Stack

  • LLM
  • Vector DB
  • SQL
  • AWS
  • Terraform

The posting

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.