Senior Platform Engineer

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
• Use AI tools (Cursor, MCP, Claude, etc.) to write, review and ship code- not as an experiment, but as default practice
• Raises the engineering bar for everyone around them

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

• 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.

• 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.

• Write production-quality code in Python and at least one systems/backend language (Node.js or Go preferred).
• Use AI as an active part of how you write, review, refactor, and debug — not a shortcut, but a force multiplier on your engineering judgment.
• Review code with rigor and raise engineering standards.
• Refactor and simplify, and build abstractions over complex infrastructure systems for maintainability.

• 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.

• 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.

• 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). 
• Hands-on experience with IaC tools — Terraform, Pulumi, or AWS CDK — architecting infrastructure that is scalable, repeatable, and version-controlled. 
• 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. 
• AI- native workflow: Build with AI daily: creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building.

• 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

• Experience with platform product thinking—prioritizing developer empathy and user feedback.
• Previous work in platform engineering or internal developer portals.

• Build core platform systems that power one of the fastest-growing AI companies in fintech.
• Shape developer experience, infrastructure standards, and reliability practices for an AI-first ecosystem.
• Work in a high-trust, fast-growth environment where innovation meets real-world impact.
• This role directly impacts:
  • Multi-agent orchestration
  • Low-latency real-time systems
  • Reliability of customer-facing AI
  • System scalability under growth
  • Compliance and security guarantee

Compensation

•  Base Salary Range is expected to be between $170,000 - $210,000, plus performance bonus and equity options. Exact compensation may vary based on skills and location.

We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role.

Every Engineer builds with AI daily. Our standard toolkit is Cursor, MCP integrations,  Claude, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building.

• Act Like You're the Founder: Own the outcome from start to finish
• No Fear. Speak Your Mind: Candor moves us forward
• Pursuit of Excellence: Raise the bar, every time
• AI-First Mindset: Think automation, intelligence, and scale-first in every solution
• Don't Assume. Seek to Understand: Start with questions, not conclusions

What We Offer

• 💡 100% paid health, dental & vision care
• 💰 401(k) match & financial wellness perks
• 🌴 Discretionary PTO + paid parental leave
• 🧠 Mental health, wellness & family benefits
• 🚀 A mission-driven team shaping the future of banking