# Staff Data and Platform Engineer at Avantos AI

Staff Data and Platform Engineer at Avantos AI in New York City. Hybrid, full-time. Posted May 27, 2026.

- Company: Avantos AI
- Location: New York City
- Workplace: Hybrid
- Job type: Full-time
- Experience: 7+ years
- Posted: 2026-05-27
- Apply: https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application
- Source: https://jobmagic.ai/jobs/staff-data-and-platform-engineer-avantos-ai-4rmba8

## Requirements

- 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

## Description

**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**.