BrokerLoop is building the next generation of voice-driven automation for insurance brokers — combining real-time voice AI (Twilio, OpenAI, LangChain, FastAPI) with a Go-based backend that orchestrates multi-tenant quoting systems for Australian brokers. Our mission is to streamline insurance workflows through intelligent, compliant, and scalable automation.

We’re looking for a hands-on backend and deployment engineer to help stabilise, containerise, and deploy BrokerLoop’s Voice AI and Golang-based backend across multiple tenants (brokers). You’ll own the end-to-end deployment pipeline — from CI/CD to container orchestration, multi-tenant configuration, and monitoring.

You’ll work closely with the founder and lead engineers to ensure our system scales securely across 20–100+ brokers, with strong observability and cost efficiency.

• Design and manage multi-tenant deployments of Go and Python (FastAPI) microservices.
• Implement and maintain CI/CD pipelines (GitHub Actions, Docker, Balena, or AWS ECS).
• Manage infrastructure as code (Terraform or AWS CDK preferred).
• Deploy and scale Voice AI systems integrating Twilio, Deepgram, and Groq/OpenAI.
• Configure tenant-level environments, secrets, and logging (Grafana, Loki, Prometheus).
• Set up and maintain automated versioning, monitoring, and alerts across services.
• Optimise system latency, concurrency, and fault tolerance for real-time conversations.
• Collaborate on infrastructure security and compliance for insurance data workflows.

• Languages: Go, Python (FastAPI), TypeScript (React / Plasmo)
• Infrastructure: Docker, AWS (ECS, Lambda, S3, CloudWatch)
• Voice AI: Twilio Conversation Relay, Deepgram ASR, 11Labs TTS, LangChain
• Databases: Redis, PostgreSQL
• Observability: Grafana, Loki, Prometheus
• CI/CD: GitHub Actions
• Versioning & Config: Semantic Versioning, environment-driven appsettings

• 4+ years’ backend experience with Go and cloud deployment (AWS / GCP / Azure).
• Strong understanding of containerisation, orchestration, and multi-tenant SaaS design.
• Experience deploying and maintaining real-time AI or voice systems.
• Familiarity with Twilio APIs, WebSocket communication, and event streaming.
• Solid grasp of networking, authentication, and observability best practices.
• Hands-on with GitHub Actions or similar CI/CD pipelines.
• Comfortable debugging across multiple languages (Go, Python, JS).

• Experience with LangChain, OpenAI API, or LLM streaming pipelines.
• Exposure to FinTech/InsurTech environments or regulated data systems.
• Knowledge of Terraform or AWS CDK for multi-env setups.
• Familiarity with multi-tenant logging and billing architectures.

• Type: Contract / Freelance (3–6 months, extension possible)
• Location: Remote or Melbourne preferred
• Hours: Flexible, ~20–40 hrs/week
• Rate: Competitive, based on experience and deliverables