Senior Platform Engineer

Senior Platform Engineer (Palo Alto, CA - Onsite Required)

Our client is 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
• Builds durable, scalable platforms
• Raises the engineering bar for everyone around them

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

Responsibilities

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.
• Harden authentication, authorization, and secure service-to-service communication.
• Drive architectural improvements through RFCs and technical proposals.

Collaborate Across AI & Product Teams

• Work closely with engineers and product teams.
• Translate product needs into scalable platform capabilities.
• 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 (OpenTelemetry, Prometheus, Grafana).
• Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps 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

Compensation

• Compensation is expected to be between $170,000 - $200,000. Exact compensation may vary based on skills and location.