Senior Data and Platform Engineer
Build the data and core platform infrastructure for AI systems in a fast-moving fintech startup.
Posted by employer 4 months ago
First seen on Joblaze 17 hours ago
Last verified on the company career page 17 hours ago
What you'll build
- Design and implement core backend systems
- Build data platform for orchestration and pipelines
- Create scalable systems for data ingestion
- Design data models and APIs
- Own infrastructure for data and AI workloads
Must have
- 7+ years in data engineering or platform engineering
- Strong systems thinking
- Backend system design and API design
- Data modeling and relational databases
- Proficiency in Golang, SQL, Terraform, AWS
Nice to have
- Experience with LLMs / RAG
- Experience with vector search
- Experience in fintech or regulated systems
- Startup or early-stage experience
AI in the day-to-day
Support AI/ML systems including embeddings, vector data, and model pipelines.
Requirements
- Experience
- 7+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Data and Platform Engineer at Avantos.ai focuses on designing and implementing the core backend systems and data platform that support AI-driven financial services. Key skills include proficiency in Golang, SQL, and AWS, along with a strong background in data modeling and system design. This position is ideal for seasoned professionals with over seven years of experience in data engineering or platform engineering, particularly those who thrive in fast-paced startup environments. The team emphasizes high ownership and direct impact on the development of an AI-native operating system.
Joblaze insights
Quick facts
- Is the Senior Data and Platform Engineer role remote?
- It's hybrid — Avantos.ai expects some on-site time in New York City, United States.
- How much experience is required?
- At least 7 years of relevant experience for this Senior Data and Platform Engineer role.
- Where is the role based?
- Avantos.ai is hiring for this position in New York City, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Golang, SQL, Terraform.
- What seniority level is this role?
- Avantos.ai targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data and Platform Engineer role at Avantos.ai.
From the original posting
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.