Job Description

Interface AI is building a universal banking assistant powered by AI. They are seeking a Lead Platform Engineer to design, build, and evolve their core AI platform infrastructure, enabling product and AI teams to ship faster with confidence. This role focuses on developer-facing platforms, reliability, and scaling complex workloads like LLM orchestration and event-driven systems.

Responsibilities

• Design, implement, and maintain core platform services and internal APIs
• Build internal developer platforms (IDP)
• Architect for fault tolerance, auto-scaling, and zero-downtime deployments
• Own and extend Terraform/Crossplane configurations
• Implement deep observability for tracing, metrics, and proactive alerting
• Manage Kubernetes, Helm, and service mesh
• Build and evolve backend services in Go/Node.js/Python
• Collaborate with AI teams to optimize LLM workflows
• Write high-quality scripts/tools to automate operational tasks
• Work with Product, DevOps, and Security to ensure platform capabilities meet goals

Requirements

• 6–9 years of engineering experience, with at least 3+ years in platform, infrastructure, or DevOps-heavy roles
• Proficiency in at least two backend languages (Go, Node.js, or Python)
• Experience with Kubernetes, Helm, Terraform
• Understanding of distributed systems, container orchestration, and microservice communication
• Proficiency in AWS cloud architecture (EKS, S3, RDS, Lambda, IAM, VPC)
• Experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana)
• Experience with CI/CD pipeline design
• Exposure to AI/ML or data-intensive systems
• Knowledge of networking, service mesh, and security controls
• Strong debugging and performance tuning skills
• Excellent collaboration skills

Benefits

• No benefits