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Senior Data and Platform Engineer

Avantos.ai

New York City, NY · HybridJob$140–220K/yrPosted 4mo agoStill listed 1w ago

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At a glance

Compensation
$140–220K/yr
Location
New York City, NYHybrid
Work Authorization
Not specified

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Job overview

Avantos is building an AI‑native operating system for financial services, transforming fragmented data into a single intelligent system that powers workflows, automation, and decision‑making. The Senior Data & Platform Engineer will design and implement core backend systems, data platforms, and infrastructure to enable fast, safe, and reliable AI workflows.

Skills & qualifications

RequiredNice to have

Skills

SQLInfrastructureData InfrastructureOperating SystemsDecision-MakingFinancial TechnologyAutomationOrchestrationScalable ArchitectureTerraformArtificial IntelligenceEquityAmazon Web ServicesProduct DesignFinancial ServicesDatabase Arch/DesignEarly-StageGolangAWSData ModelingRelational DatabasesBackend System DesignAPI DesignSystems Thinking

Qualifications

7+ Years Data Engineering Experience

Full job description

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.

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