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Senior Platform Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Interface AI
Full Time position
Listed on 2026-04-17
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant
.

We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time,
autonomously drive their financial goals
. Powered by our proprietary BankGPT platform
, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack
, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies
.

Ultimately,
our mission is to drive financial well-being for millions of consumers.

With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate,
we aim to
put financial well-being on autopilot to help solve this problem.

About the Role

We are building an AI-native platform where agentic systems, real-time services, and distributed infrastructure converge to power intelligent financial products. We are looking for a Senior Platform Engineer who is deeply technical, AI-first by mindset, and excited to build foundational systems through code.

This is a senior individual contributor role for someone who:

  • Thinks in distributed systems
  • Codes extensively and confidently
  • Understands AI-native architectures
  • Raises the engineering bar for everyone around them

You will write production-grade code daily and own critical components of our core platform.

What You’ll Do
Build AI-First Platform Systems
  • Design and implement core platforms that power multi-agent orchestration, real-time decisioning, and AI workflows.
  • Build structured control layers around LLM integrations to ensure reliability and low latency.
  • Develop abstractions that allow AI systems to operate safely and predictably at scale.
  • Contribute to evaluation, monitoring, and guardrail systems for AI development lifecycle and agentic architectures.
Engineer High-Performance Distributed Systems
  • Design and build low-latency infrastructure platforms
  • Optimize resource utilization and costs
  • Enable streaming and event-driven platforms to be hosted
  • Build fault tolerance, resiliency, and failovers.
  • Enable reducing tail latency and eliminate performance bottlenecks.
Code with Ownership
  • Write production-quality code in Python and at least one systems/backend language (Node.js or Go preferred).
  • Review code with rigor and raise engineering standards.
  • Refactor and simplify, and build abstractions over complex infrastructure systems for maintainability.
Strengthen Platform Foundations
  • Build reusable service frameworks and platform abstractions.
  • Improve observability, logging, metrics, and tracing.
  • Drive architectural improvements through RFCs and technical proposals.
  • Work closely with engineers and product teams.
  • Build a security first mindset and frameworks to enable secure SDLC.
  • Support compliance, security, and governance requirements.
What You’ll Bring
Required
  • 7+ years of backend or distributed systems engineering experience.
  • Strong proficiency in Python and at least one backend language (Node.js or Go).
  • Proven experience with observability and tracing systems (Open Telemetry, Prometheus, Grafana).
  • Experience with CI/CD pipeline design (Jenkins, Git Hub Actions, ArgoCD, Git Ops workflows).
  • Hands‑on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management
    .
  • Deep understanding of distributed systems, concurrency, and performance optimization.
  • Experience building high‑availability, production‑scale systems.
  • Hands‑on experience designing APIs and microservices.
  • Strong debugging skills across complex distributed environments.
  • Experience deploying systems in cloud‑native environments.
Strongly Preferred
  • Experience working with LLMs or AI‑driven systems in production.
  • Familiarity with agentic architectures or multi‑agent orchestration.
  • Experience with streaming systems and event‑driven architectures.
  • Experience building systems under strict latency constraints.
  • Experience in fintech or regulated environments
Why Join Us
  • Build core platform systems that power one of the fastest-growing AI companies in fintech.
  • Shape developer experience, infrastructure standards,…
Position Requirements
10+ Years work experience
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