Staff Data and Platform Engineer

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.