At Chime Labs, we’re on a mission to empower home-services businesses (tradies, contractors, service outfits) with an always-on AI virtual receptionist platform that allows them to “never miss a job again”. Our solution uses AI to manage customer interactions, schedule appointments, and grow business operations 24/7. We believe that the future of service-business operations is AI-native, intelligent and fully scalable.

We’re seeking a seasoned Back-End Developer who brings deep expertise in building scalable, cloud-native systems on Google Cloud, integrates applications with cutting-edge LLMs, and leverages AI tools in their own development workflow. In this role you’ll not only build and deploy backend services, but architect them for growth — making sure our platform can serve thousands of service businesses, handle high-volume interaction workloads, and maintain operational reliability.

You’ll work closely with cross-functional teams (product, AI/ML, UX) and take on responsibilities including DevOps, system design, mentoring junior developers or contractors, and ensuring the backend infrastructure is robust and future-proof.

• Architect, build and maintain backend systems using Google Cloud services, designed for high performance, reliability and scale.
• Design and deploy cloud-native solutions leveraging GCP services such as Cloud Run, GKE, Compute Engine, Pub/Sub, BigQuery, etc.
• Integrate business-apps with Large Language Model APIs (for example OpenAI, Gemini, etc) to deliver intelligent interaction workflows.
• Own DevOps pipelines: CI/CD, monitoring, logging, alerting, cost-optimization.
• Define database schemas and write optimized SQL queries for our operational data stores; ensure data integrity, performance, and scalability.
• Collaborate with AI/ML team to help productionise features driven by LLMs and embeddings, while maintaining clean backend architecture.
• Mentor and coordinate with contractors or junior engineers, enforce best practices in code quality, documentation, and DevOps.
• Continuously utilise AI-powered IDEs (e.g. Windsurf, Cursor, etc...) to accelerate your workflow and deliver higher productivity.
• Monitor system health, architect for fault tolerance, scaling (both horizontal and vertical), and evolve the architecture as user-base and load grow.

• You have excellent communication, problem-solving and architectural design skills.
• No job is too big or too small for you. You work as a missionary to the cause rather than mercenary with a mission
• You are a self-starter, comfortable with ambiguity, rapid iteration and take initiative

• 5+ years of professional backend software development experience.
• Proven track record designing, deploying and operating systems on Google Cloud Platform (GCP).
• Strong expertise in SQL (e.g., PostgreSQL) — schema design, indexing, query optimization.
• Experience integrating applications with LLMs (e.g., via REST/SDK, embedding workflows, prompt design, token management).
• Comfort with DevOps practices: CI/CD pipelines, infra-as-code, containers or serverless, monitoring.
• Strong software engineering fundamentals: API design (REST), asynchronous messaging, microservices, distributed systems.
• Proficiency in a backend language (high preference for Python) and familiarity with tooling around it.
• Demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Gemini, etc...) in your regular workflow.

• Experience managing or mentoring other developers / contractors.
• Experience with container orchestration (Kubernetes, Cloud Run Jobs) or hybrid architecture.
• Exposure to conversational AI technologies and machine learning
• Manage Supabase
• Familiarity with observability tools (Stackdriver/Cloud Monitoring, Prometheus, Grafana).
• Previous experience building SaaS platforms for service-industries or high-throughput user-bases.

• The opportunity to build and scale the backbone of a next-gen AI SaaS platform for the home services industry.
• A culture that embraces developer tooling and AI as enablers of productivity and innovation.
• Flexible work arrangements and the ability to influence architecture from day one.
• Competitive compensation, equity, and a role that offers real growth as we scale.