Senior Platform Engineer

About the role

We are building a universal banking assistant powered by our proprietary BankGPT platform. This assistant aims to displace legacy systems within financial institutions and own the end-to-end Customer Experience (CX) stack, unlocking a $200B opportunity.

Responsibilities

• Build AI-First Platform Systems
• Design and implement core platforms that power multi-agent orchestration, real-time decisioning, and AI workflows.
• 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).
• 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.
• Support compliance, security, and governance requirements.

Requirements

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.

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.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with distributed systems, concurrency, and performance optimization.
• Experience with Python and at least one backend language (Node.js or Go).
• Experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana).
• Hands-on experience with IaC tools — Terraform, Pulumi, or AWS CDK.
• Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps workflows).
• Hands-on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management.
• Experience building high-availability, production-scale systems.
• 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.

Skills

• Python
• Node.js or Go
• Kubernetes
• Terraform
• Helm
• CI/CD pipelines
• Observability and tracing systems (OpenTelemetry, Prometheus, Grafana)
• IaC tools (Terraform, Pulumi, AWS CDK)
• Agentic architectures or multi-agent orchestration
• Streaming systems and event-driven architectures
• Latency optimization
• Security and compliance

Benefits

Interface.ai offers a comprehensive benefits package including:

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

Pay

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.

Schedule

This is an -site role. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub.