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Staff Software Engineer, Reliability – Alert Platform

CommandLink

Nuevo Remote
Remote 🇬🇧 English
OpenSearch Kafka OpenTelemetry SLOs SLIs Error budgets Incident response Observability Capacity planning Correlation logic Syslog

Descripcion del puesto

About the role

Command|Alert, the signal‑processing core of Command|Link’s SaaS platform, transforms raw security, monitoring and telemetry data into trustworthy alerts. As a Staff Software Engineer, Reliability you will own the end‑to‑end reliability of the alerting pipeline and guide its architecture at Fortune‑1000 scale.

Key responsibilities

  • Own the reliability of the alerting pipeline end‑to‑end, from OpenSearch evaluation through Kafka delivery and downstream notification, ensuring idempotency and load resilience.
  • Define and monitor SLOs/SLIs for availability, latency and delivery guarantees, using error budgets to balance reliability work with new features.
  • Lead incident response for critical production issues, conduct blameless post‑mortems and implement systemic fixes and automation.
  • Build observability, automation and capacity‑planning processes to support growth in ingestion volume and customer count.
  • Set the architecture for rule‑based thresholds, ML anomaly scoring and correlation logic that feed LLM‑driven investigation and remediation.
  • Mentor engineers across teams and communicate technical direction to non‑engineering stakeholders.

Required profile

  • Strong SRE mindset with experience in defining SLOs, error budgets and blameless incident response.
  • Ability to reason across security tooling, monitoring telemetry, syslog and L2‑L4 network protocols.
  • Proven track record of building highly reliable, high‑throughput pipelines at scale.
  • Excellent communication and mentorship skills.

Required skills

  • OpenSearch
  • Kafka
  • OpenTelemetry
  • SLOs / SLIs
  • Error budgets
  • Incident response and post‑mortem analysis
  • Observability and automation tooling
  • Capacity planning
  • Rule‑based threshold evaluation
  • Machine‑learning anomaly detection
  • Correlation logic for telemetry
  • Understanding of L2‑L4 network protocols
  • Syslog

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Publicado hace 13 horas

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