Avantos

Senior Data and Platform Engineer

🇺🇸 New York City, Stany Zjednoczone Na miejscu IT Senior Opublikowano Maj 27, 2026
Lokalizacja New York City, Stany Zjednoczone
Tryb pracy Na miejscu
Poziom doświadczenia Senior
Kategoria IT
Kategoria IT Inżynier danych
Język English
Opublikowano 27 maja 2026
Ostatnio sprawdzono 2 czerwca 2026
Kontekst JobGrid

Podsumowanie roli od JobGrid

Senior Data and Platform Engineer at Avantos: New York City, Stany Zjednoczone; Na miejscu; Senior; IT; Inżynier danych. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: New York City, Stany Zjednoczone, Na miejscu
  • Role classification: IT, Inżynier danych, Senior
  • Source freshness: checked by JobGrid on 2026-06-02.
  • Application path: candidates continue to the employer application page with non-personal referral tags.
Senior 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 Senior 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.