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Senior Vector Database Support Engineer

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[Hiring] [Remote] Part-Time Vector Database Support Engineer

Source: reddit-r-forhire Contract Type: Part-time (~10 hrs/wk)

About the Role

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 Compensation

  • Workload: Approximately 10 billable hours per week on average.
  • Availability: Your weekday working hours must overlap with PST (UTC-8) business hours for at least 6 hours per day to ensure availability for urgent issues.
  • 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 approximately $16/hour starting, up to ~$28/hour at the top rate.
  • Bonuses: $50–$100 bonus from the second month onward for consistent, reliable work.
  • On-call: On-call weeks are paid extra on top of the base rate.
  • Terms: No equity and no commission-only arrangement.

Responsibilities

  • Triage and Resolution: Resolve customer issues regarding search quality, index health, collection tuning, payload indexes, HNSW settings, quantization, sharding, and replication.
  • Troubleshooting: Resolve production issues across infrastructure, cloud, and database layers (Kubernetes pods, Helm, autoscaling, AWS/GCP/Azure networking and storage).
  • Tooling: Build small internal tools in Python for support workflows and observability (Prometheus/Grafana/OpenTelemetry experience is a plus).
  • Documentation: Write clear runbooks and customer-friendly explanations of complex technical problems.
  • On-call: Participate in a shared on-call rotation.

Requirements

  • Experience: Customer-facing support background or forward-deployed / solutions engineer (FDE) experience.
  • Availability: Must be available for at least 6 hours per day of overlap with PST (UTC-8) business hours, Monday to Friday.
  • Technical Expertise: Real, hands-on vector database experience (Milvus, Weaviate, or pgvector are acceptable; Rust-based vector engine experience is a big plus).
  • Assessment: A short technical quiz on vector search fundamentals is required before hiring.
  • Programming: Professional Python (or similar language) for scripting and tooling.
  • Infrastructure: Production Kubernetes experience and comfort managing workloads.
  • Cloud: Experience with AWS, GCP, or Azure.
  • Portfolio: Provide a link to your GitHub/git history plus 1–2 examples of production incidents you diagnosed and fixed.

How to Apply

  • Apply by private message with your relevant experience, timezone, and links to your samples.
  • Important: Start your PM with your favourite animal and your timezone so we know you read the full post.
  • We review every application that includes portfolio links and will reply to shortlisted applicants within a few days.
  • Note: We never ask applicants for payment or financial details.

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