
Senior DevOps
6 days ago
About BrokerLoop
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.
Role Overview
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.
Key Responsibilities
- 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.
Tech Stack
- 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
Requirements
- 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).
Nice to Have
- 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
.
Contract Details
- 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
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