Reliability Engineering
We maintain production systems, coordinate incident response and automate recurring operational work.
Discuss your projectDelivery
What you receive
- Runbooks and an alerting configuration reviewed against your services
- An on-call schedule, escalation paths and incident procedures
- Postmortems with tracked follow-up work, plus SLO and error-budget reporting
The proposal specifies coverage hours, escalation paths, response expectations and fees. We establish who owns each service and who responds when it fails.
Relevant experience
Work we have completed
One reliability contract that ran seven six-month terms in a row.
PostgreSQL cluster on Patroni with automatic failover.
Centralized logging and a monitoring platform.
Working together
How the work proceeds
Onboarding, access review and operational baseline
Alert review, prioritization and escalation configuration
Agreed on-call rotation and escalation responsibilities
Incident coordination and response
Post-incident review and tracked remediation
SLOs and error budgets agreed with you, and reported
Public engineering work
Related tools and infrastructure
Mabo Tunnel →
Protocol implementation, traffic inspection and service access controls.
Patroni HA Dockerized →
Database topology, recovery procedures and operational automation. The local stack shares one host failure domain.
Zabbix Docker Compose →
Monitoring deployment, persistent services and reverse-proxy integration.
Technical capabilities and tools
- containers
- Docker, Podman, Kubernetes (GKE, EKS). GitOps with Argo CD, horizontal pod autoscaling, server consolidation.
- observability
- Prometheus, Grafana, Zabbix, ELK, Wazuh, OSSEC, centralized logging.
- sre
- incident command, on-call, root cause analysis, event correlation. incident management automation, chaos engineering, SLIs, SLOs and error budgets. PagerDuty certified: Incident Responder, Foundational Practitioner, API.
- aiops
- alert noise reduction, anomaly detection, incident triage. LLM inference hosting, MLOps pipelines, AI agents for runbooks and ChatOps.
Tell us what needs attention.
Describe your environment, the problem and your timeline.
