Senior Platform Infrastructure Engineer
SpadeNew York, NYPosted 18 April 2026
Job Description
What is Spade?
Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.
Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.
Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.
What will you be doing?
As a Senior Platform Infrastructure Engineer, you'll own the systems that keep Spade's core platform fast, reliable, and scalable. You'll work across the full infrastructure stack — from the cloud services and data pipelines that power our enrichment APIs, to the developer tooling and observability systems that keep our engineering team moving quickly. This is a high-ownership role on a small team, where your decisions directly shape the reliability of products processing hundreds of millions of transactions.
Collaborate on our technical vision to build and scale internal infrastructure that engineers and customers love
Develop and maintain low-latency, massively-scalable infrastructure for data ingestion, reporting, and developer facing APIs.
Continuously improve our engineering best practices by designing and implementing systems that allow us to expand our platform while maintaining high quality and solid observability.
Debug production issues across all levels of the stack
Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade
What experience, skills, and qualifications are necessary?
Must-have:
5+ years of experience building and scaling AWS Cloud Infrastructure (ECS/Fargate, RDS Aurora Serverless, Terraform/CDK etc).
Experience with highly scalable networked APIs, Postgres, data pipelines, and async processing
Experience and opinions with implementing effective observability instrumentation and ensuring alerts are timely and actionable
Experience building tools and systems that empower internal developers to deliver business value rapidly
Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments
A product mindset and strong problem solving skills, with the ability to navigate ambiguity and focus on delivering customer value, for internal developers and the customers they build for
A collaborative mindset, fostering a culture of mentorship, shared success, and continuous improvement
Based in NYC
Nice-to-have:
Experience with building and supporting infrastructure in multiple AWS regions
Experience with Python and Django
Experience with Open Telemetry
Experience with transaction, merchant, and/or location data
Experience and/or interest in fintech and/or data products
Experience with agentic development infrastructure and workflows
Familiarity data science and analytics tools such as Pyspark, Databricks and Delta Lake, and Hex
Why join Spade?
Be a cultural founder . As an earl ... (truncated, view full listing at source)
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