Reliability work pays off when it is tied to user journeys, not vanity dashboards. We place SRE engineers who define service objectives, reduce alert noise, and strengthen incident response on the observability stack you already run.
Our approach
We match SREs to your reliability maturity — from first SLO drafts to mature error-budget practice. Screening focuses on production ownership, calm incident leadership, and the ability to leave runbooks and follow-ups your team can keep. Engagement terms are clear before interviews begin.
Skills we staff
Profiles are matched to your observability and reliability tools.
- SLOs & error budgets — Service objectives tied to user journeys
- Prometheus & Grafana — Metrics, dashboards, and actionable alerts
- PagerDuty / Opsgenie — On-call schedules and escalation paths
- Kubernetes reliability — Workload health and disruption budgets
- OpenTelemetry — Traces for faster incident investigation
- Terraform & observability-as-code — Alerts and dashboards as reviewed code
- Chaos engineering — Controlled failure tests for recovery plans
- Loki & log aggregation — Queryable logs linked to metrics and traces
- Runbooks & postmortems — Runbooks and follow-ups after incidents
Outcomes teams see
- 5+ years — Average production SRE experience on placements
- 40%+ — Typical alert-noise reduction after redesign
- 99.9%+ — Availability targets defined with product owners
- Days — Time to first SLO draft after system access
Next step
Share the services that matter most and how on-call works today. We align engagement model and send SREs who can improve reliability without slowing delivery.