Job 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.

Requirements

Must-haves

NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY
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.
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
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
Build the foundation layer of an AI-native product

Nice-to-haves

LLMs / RAG, vector search, fintech or regulated systems
Have startup or early-stage experience.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlapigolangsqlaws

Platform: ashby
Effort: quick