Senior Platform Engineer

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 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 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). 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. 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). 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. 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 Bonus Points Experience with platform product thinking —prioritizing developer empathy and user feedback. Previous work in platform engineering or internal developer portals . Why Join Us 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 . How We Work 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. Our Values 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 At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

{
  "content_hash": "3f44f322b2b582b8450c549f023dc7d3c39f498a4a4b1df6328a9e6b6ab3f275",
  "source_hash": "266c324605b1dfe925bc6a4e0b7ba6f76e1b3c2baa69e2d0d50e606ad1fcb3f6",
  "last_changed_at": "2026-05-29T22:42:59.652Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco, California (In-Office)",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": 210000,
  "salary_min": 170000,
  "inferred_at": "2026-06-06T07:35:09.661Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, California (In-Office)",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "on_site",
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}

{}

{
  "title": "Senior Platform Engineer ",
  "offices": [
    {
      "id": 4005194006,
      "name": "interface USA",
      "location": "San Francisco / Palo Alto (In-Office)",
      "child_ids": [
        4017790006
      ],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Palo-Alto (In-office); San Francisco, California (In-Office)"
  },
  "metadata": [],
  "updated_at": "2026-04-23T20:16:52-04:00",
  "departments": [
    {
      "id": 4009740006,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Interface AI",
  "requisition_id": 4535021006,
  "first_published": "2026-02-19T13:44:34-05:00",
  "application_deadline": null
}