Infra Engineer (On-site, Bali) | IDR 30-45m pm

**This role will be based in Bali and you would need to be in Bali.**

Kulu builds an AI agent that joins live meetings it listens speaks sees the users shared screen and takes actions in real time. Everything runs on realtime infrastructure: WebRTC media streaming LLM sessions a Python backend and the cloud underneath.

Were hiring an infrastructure engineer to run it with us. Youll join our Foundation team reporting directly to the CTO and your work will centre on three things in the first half year: migrating us from AWS to GCP building our monitoring from the ground up and keeping production healthy when things break.

Were a small high-bandwidth team deliberately building toward a more in-person culture in Bali.

• Design build and maintain the realtime platform Kulus AI assistant runs on WebRTC media infrastructure streaming multimodal LLM sessions and the Python backend behind them: the foundation every user conversation rides on.
• Own reliability performance and observability of Kulus core services: the realtime pipeline end to end rooms agents audio in/out and the recording pipeline and the telemetry that turns the agent felt slow into a number with a cause.
• Own the LLM streaming session layer as an engineering system connection lifecycle streaming reconnection and resumption tool-call plumbing timeouts and watchdogs so that behaviour changes designed by the AI product lead land on a reliable substrate.
• Own deployment and infrastructure across our AWS environment and CI/CD pipelines and drive our infrastructure-as-code programme (OpenTofu).
• Maintain the platform in production and respond to incidents: triage root-cause and fix live issues across the stack then feed every incident back into telemetry runbooks and infrastructure as code so it cant happen silently twice.
• Build services that handle sensitive meeting data with the privacy correctness and auditability our customers expect.
• Contribute to architectural decisions as Kulu scales with a particular focus on system correctness data integrity and security.
• Bring strong engineering fundamentals to every problem: well-tested maintainable code clear data models and systems that degrade gracefully under pressure.
• Maintain strong documentation and champion operational excellence across the engineering culture.
• Ship end to end: you write the migration deploy the service and watch the dashboards after.

• 3 years of production experience in a DevOps SRE Cloud Engineer Platform Engineer or backend infrastructure role.
• Production experience writing and owning infrastructure as code (Terraform/OpenTofu).
• Knowledge of monitoring and logging tooling (Prometheus/Grafana Datadog ELK or equivalent).
• Strong programming skills in Python (asyncio FastAPI or similar) and solid shell scripting (Bash).
• Solid operational experience with AWS or GCP ideally some of both since your first project is migrating us from one to the other including IAM secrets management VPC and networking.
• Hands-on experience building CI/CD pipelines (GitHub Actions GitLab CI or similar); proficiency with Git and branching strategies.
• Strong grasp of distributed systems event-driven architecture and fault-tolerant service design.
• Solid relational database skills (PostgreSQL schema migrations); Redis in production.
• Strong understanding of infrastructure and application security best practices.
• Strong AI-tool skills: AI is part of how you read write and debug code.
• Clear communicator; fluent spoken and written English our company language is exclusively English.

Nice to Have

• AWS or GCP certifications (e.g. Solutions Architect DevOps Engineer).
• Security compliance experience supporting a certification programme (SOC 2 / ISO 42001) access management or audit preparation.
• Experience supporting eval or model-quality infrastructure.

Our Stack

Python (FastAPI asyncio) WebRTC media infrastructure streaming multimodal LLM APIs PostgreSQL Redis React TypeScript AWS GitHub Actions OpenTofu Datadog

IDR 3045m/month gross

What Success Looks Like

• First month: you can deploy configure and debug our infrastructure on your own and the GCP migration plan is ready target architecture chosen quotas requested steps written down.
• Three months: the migration is finished our environments run on GCP fully managed as code the first dashboards and alerts are live and when something breaks in production youre the person who handles it.
• Six months: AWS is fully shut down; is production healthy is one look at a dashboard you built; incidents are diagnosed in minutes instead of hours; the team ships every week without worrying about infrastructure.

Our Operating Principles:

• Always Be Hustlin Move fast outwork the competition stay scrappy.
• Relentlessly Curious Reason from first principles question assumptions and explore better ways.
• Super Pumped Show relentless enthusiasm and drive.
• Make Magic Create experiences that delight customers.
• Obsess Over the Details Perfect the product experience no matter how small.
• Big Bold Bets Think big take risks and go after huge transformative opportunities.
• Ownership is Key Own the outcome not just the task.

As Kulu grows this role naturally expands with the Foundation team a full-stack engineer will join on Simu and there is a clear path to owning our infrastructure and reliability function outright.