Technical jobs / Archive listing
Parabola
Site Reliability Engineer
Parabola | Site Reliability Engineer | San Francisco, CA (Hybrid) | Full-time
- Location
- San Francisco, CA (Hybrid)
- Work mode
- Hybrid
- Employment
- Full-time
- Compensation
- Not stated
- Posted
- Source author
- @cjcjameson
About Parabola
Parabola is a no-code data workflow automation tool that helps operations teams move, transform, and automate their data without writing code. LLMs are a core part of our product — we use them to help users build and reason about their workflows — and they're increasingly part of how we run infrastructure too. We're a small, product-focused team and our infrastructure runs on AWS. We're looking for an SRE who's passi
Original job description
Parabola | Site Reliability Engineer | San Francisco, CA (Hybrid) | Full-time
Parabola is a no-code data workflow automation tool that helps operations teams move, transform, and automate their data without writing code. LLMs are a core part of our product — we use them to help users build and reason about their workflows — and they're increasingly part of how we run infrastructure too. We're a small, product-focused team and our infrastructure runs on AWS. We're looking for an SRE who's passionate about observability and keeping systems healthy and understandable. You'll own our monitoring and alerting infrastructure, drive incident response, and work closely with engineering to make sure we have deep visibility into everything that matters. We expect you to use LLMs heavily in your work — writing runbooks, generating alert configs, drafting postmortems, building dashboards — and we want someone who's already figured out how to make that feel natural. What you'll work on:
Observability stack — Prometheus, Grafana, dashboards, alerting, and on-call workflows Incident response and postmortems — building a culture of learning from failures SLIs, SLOs, and error budgets — helping the team make data-driven reliability decisions Monitoring LLM-specific infrastructure: latency, token throughput, model error rates, cost attribution AWS infrastructure across our stack (Lambda, ECS, RDS, OpenSearch, CloudFront, etc.) CDK-based IaC and CI/CD pipelines as needed
What we're looking for:
Hands-on experience with Prometheus and Grafana (or similar — Datadog, Honeycomb, etc.) Strong instincts for what to instrument and what good alerting actually looks like Comfort debugging distributed systems across the full stack Experience owning on-call and incident response end to end AWS familiarity and enough IaC experience to get things done (CDK or Terraform) Someone who reaches for an LLM before writing boilerplate from scratch — and knows when not to
Nice to have: experience instrumenting LLM pipelines, familiarity with TypeScript/Node.js, startup experience, or a background in security and compliance.
Reach out at [email protected] or apply at https://jobs.ashbyhq.com/parabola-io/75141699-0666-4baa-b03f....