Senior Platform Engineer
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Job Location:
Palo Alto, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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 ( 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 Youll Bring
Required
- 7 years of backend or distributed systems engineering experience.
- Strong proficiency in Python and at least one backend language ( 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 $170000 - $200000. Exact compensation may vary based on skills and location.
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
