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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.
We are looking for a Lead Platform Engineer to design, build, and evolve our core AI platform infrastructure. This role is at the intersection of software engineering, infrastructure automation, and platform reliability, enabling product and AI teams to ship faster with confidence.
You will design developer-facing platforms, define standards for reliability and observability, and help scale complex workloads like LLM orchestration, vector databases, and event-driven systems.
This is a hands-on role where you’ll shape the foundational components that power our multi-product ecosystem — Sphere (Voice AI), Orbit (Chat AI), and Nexus (Employee Copilot).
What You’ll Do- Platform Architecture: Design, implement, and maintain core platform services and internal APIs for scalable, multi-tenant workloads.
- Developer Experience: Build internal developer platforms (IDP) that streamline CI/CD, environment provisioning, and observability across teams.
- System Reliability: Architect for fault tolerance, auto-scaling, and zero-downtime deployments for distributed microservices and AI pipelines.
- Infrastructure as Code: Own and extend Terraform/Crossplane configurations to standardize provisioning across environments.
- Performance & Observability: Implement deep observability (OpenTelemetry, Prometheus, Grafana) for tracing, metrics, and proactive alerting.
- Service Orchestration: Manage Kubernetes, Helm, and service mesh (Istio/Linkerd) to ensure secure and efficient service communication.
- Platform APIs: Build and evolve backend services in Go/Node.js/Python for internal orchestration, configuration, and workload routing.
- AI Platform Integration: Collaborate with AI teams to optimize LLM workflows, caching strategies, and retrieval pipelines for low-latency inference.
- Automation: Write high-quality scripts/tools in Python/Go to automate operational tasks, resilience testing, and rollout management.
- Cross-Functional Partnership: Work with Product, DevOps, and Security to ensure every platform capability meets performance, compliance, and reliability goals.
- 6–9 years of engineering experience, with at least 3+ years in platform, infrastructure, or DevOps-heavy roles.
- Strong proficiency in at least two backend languages (Go, Node.js, or Python).
- Hands-on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management.
- Deep understanding of distributed systems, container orchestration, and microservice communication.
- Proficiency in AWS cloud architecture (EKS, S3, RDS, Lambda, IAM, VPC).
- Proven experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana).
- Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps workflows).
- Exposure to AI/ML or data-intensive systems, including model serving, vector databases, or RAG pipelines.
- Knowledge of networking, service mesh, and security controls in production-grade environments.
- Strong debugging and performance tuning skills; ability to reason about failure modes and resilience.
- Excellent collaboration skills — able to partner with developers, product managers, and AI researchers effectively.
- 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.
- Collaborate with top-tier engineers, AI researchers, and architects on large-scale distributed systems.
- Work in a high-trust, fast-growth environment where innovation meets real-world impact.
Compensation
- Compensation is expected to be between $170,000 - $200,000. Exact compensation may vary based on skills and location.
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.
