Observability
Metrics, logs, traces, SLOs and alert design that turn production behavior into a readable signal.
IT & Technology - Site Reliability Engineer
Keep the
lattice alive.
I engineer dependable production systems by connecting observability, automation, incident response and resilient architecture into one operational mesh.
99.99%SLO TARGET
EDGE / API
QUEUE / WORKERS
DATA / CACHE
OBSERVABILITY
CONTROL PLANE
01 / Operating profile
Reliability is a connected system.
Production is a living dependency graph: signals reveal weak links, automation reduces toil, and every incident feeds the next improvement.
99.99%target availability
41minutes of toil removed / week
23runbooks hardened
17production services supported
02 / Expertise lattice
Signals, safeguards, recovery.
Capabilities shown as modular nodes rather than generic percentage bars, reflecting how SRE work compounds across the stack.
Incident Response
Calm triage, escalation, coordination and blameless learning loops.
Cloud Reliability
Capacity, scaling, health checks and failure-aware architecture.
Automation & Platform Engineering
Runbooks, CI/CD safeguards, infrastructure-as-code and self-service paths that make the reliable path the easy path.
03 / Experience
From alert to durable fix.
A practical SRE career arc built around production ownership, service health and engineering systems that reduce repeat incidents.
Senior Site Reliability Engineer · Northstar Platform
Own reliability for customer-facing services, define SLOs, improve observability, lead incident reviews and partner with product teams on resilience work.
Production Engineer · Meridian Cloud
Automated infrastructure workflows, introduced deployment safeguards and built recovery exercises for distributed workloads.
Systems Engineer · VectorWorks
Supported Linux fleets, monitoring, release operations and the first generation of infrastructure-as-code practices.
04 / Selected work
Proof under pressure.
Representative reliability initiatives framed around the failure mode, intervention and production outcome.
Alert topology reset
Rebuilt noisy alert routing around service ownership, SLO burn and dependency context, reducing low-value pages while making real incidents faster to diagnose.
Recovery rehearsal grid
Created repeatable failure drills for queues, databases and regional dependencies so recovery assumptions could be tested before they mattered.
Toil-to-code pipeline
Converted recurring operational checks into automated workflows with guardrails, reducing manual release and maintenance work.