Description
We run an AI platform doing RAG, semantic search and recommendation workloads on a self-hosted open-source vector database cluster (Kubernetes, cloud-hosted, high request volume). We are hiring a senior support engineer for an ongoing part-time contract to own customer support and production troubleshooting for our vector database layer.
Hours and rate
\- Part-time workload: about 10 billable hours per week on average, scheduled inside your normal weekday window. This is a part-time contractor role, not a full-time position.
\- Availability: your weekday working hours should overlap PST (UTC-8) business hours for at least 6 hours per day so we can reach you for urgent issues. You are not billed for the full 6 hours; billable work averages about 10 hours per week.
\- Rate: $700/month to start, up to $1,200/month for exceptional experience, paid in USD on a fixed schedule via PayPal or Wise. Effective rate is about $16/hour starting and up to about $28/hour at the top rate.
\- $50-$100 bonus from the second month onward for consistent, reliable work.
\- On-call weeks are paid extra on top of the base rate.
\- No equity and no commission-only arrangement.
The role
\- Triage and resolve customer issues on the vector database and SaaS platform: search quality, index health, collection tuning, payload indexes, HNSW settings, quantization, sharding and replication.
\- Troubleshoot production issues across infrastructure, cloud and database layers: Kubernetes (pods, Helm, autoscaling), AWS/GCP/Azure networking and storage.
\- Build small internal tools in Python for support workflows and observability (Prometheus/Grafana/OpenTelemetry experience is a plus).
\- Write clear runbooks and customer-friendly explanations of hard technical problems.
\- Join a shared on-call rotation with extra base pay for on-call weeks.
Requirements
\- Customer-facing support background or forward-deployed / solutions engineer (FDE) experience.
\- Availability: at least 6 ho
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