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Expert – Interactive Coding, Site Reliability Engineering
Patronus AI. Work live with the research team on production-style reliability scenarios in a sandboxed stack .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing production systems with a focus on Kubernetes, Prometheus, and infrastructure as code tools like Terraform. Capable of producing original scenarios and solutions while effectively communicating reasoning and findings in professional English.
Highest-signal resume keywords
Kubernetes ManagementPrometheus MonitoringInfrastructure As CodePython ProgrammingOn-Call Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Systems ManagementPromQLLogQLHelm ConfigurationCI/CD SystemsBash ScriptingGo ProgrammingScenario EvaluationAcceptance Criteria WritingPost-Mortem Documentation
Soft Skills
Clear CommunicationProblem-SolvingFeedback IncorporationReliabilityCritical Thinking
Tools & Technologies
GrafanaDatadogNew RelicLokiELKSplunkTerraform
Industry Keywords
Production SystemsOn-Call RotationAI Model TrainingOperational AssumptionsSandboxed Stack
Tech Stack
Tools & technologiesGrafanaKubernetesPrometheusPythonSplunkTerraformGo
About the role
Key responsibilities & impact- Work live with the research team on production-style reliability scenarios in a sandboxed stack
- Investigate scenarios on a shared screen, fix or mitigate issues, explain reasoning, identify unrealistic operational assumptions, and define correct resolutions
- Read dashboards and logs, write PromQL and LogQL, fix Helm and Kubernetes configuration, roll back bad deployments, and write post-mortems
- Review drafted scenarios and identify what is unrealistic, too easy, or underspecified
- Help write acceptance criteria, including tempting wrong moves under pressure
- Write short notes after each session on the approach and verification
- Incorporate reviewer feedback within agreed turnaround times and flag guideline gaps or edge cases
- Produce evaluation and training data for frontier AI models
Requirements
What you’ll need- 3+ years running production systems in at least one specified area, including time on an on-call rotation within the last two years
- Hands-on experience with Kubernetes, Prometheus and Grafana (or Datadog or New Relic), a log stack such as Loki, ELK or Splunk, infrastructure as code such as Terraform and Helm, and a CI/CD system
- Comfortable in Python, Go or Bash and reading unfamiliar codebases
- Able to explain reasoning out loud while working, in clear professional English
- Reliable availability for scheduled live sessions and habit of showing evidence behind every conclusion
- All solutions, write-ups and reviews must be the candidate's own work; LLM-generated code or text is not permitted
- Scenarios and solutions must be original and not copied from published or easily searchable sources
- Must not include code, configuration, runbooks or incident details from current or former employers or clients, or anything covered by an NDA
Benefits
Comp & perks- The trial session is paid
- Extension available for strong performers
- Fully remote engagement
- About 10 hours per week, initially 1 to 3 months
- Rolling start