Staff Data and Platform Engineer
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- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- Not specified
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- FullTime
9 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
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- Compensation
- Not specified
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Original job description
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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.
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