Expert – Interactive Coding, Site Reliability Engineering

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $150 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 0%

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Patronus AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🔬 Science

🔥 Funding within the last year

💰 $50M Series B on 2026-06

Artificial Intelligence • Science

Patronus AI is a behavioral research lab for artificial intelligence that studies where models and agents fail and how to improve their judgment. They build realistic, domain-specific simulated environments and world models where agents can practice decision-making under fragmented information, conflicting requests, and unstated requirements; analyze agent mistakes; and create training data, benchmarks, and tests (e. g. , TRAIL, MEMTRACK) to improve AI reliability and alignment. The company emphasizes fundamental research, publishes on arXiv, and provides resources such as RL environments, testing frameworks, and domain guides. Their site references enterprise-relevant compliance (SOC 2, HIPAA, TISAX).

📋 Description

• 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

• 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

• 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

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