Senior Support Engineer
Owned complex escalations and drove systemic debugging improvements for Halp (later JSM Chat) within Atlassian's 200+ person cloud support organization.
- Unblocked enterprise and high-ARR customers by diagnosing misattributed reporters, auth edge cases and data inconsistencies, turning multi-day escalations into actionable fixes
- Reduced recurring Shared Channel failures from daily incidents to rare edge cases by tracing issues across Splunk logs, MongoDB data and application code, identifying gaps in Slack integration handling and driving fixes with engineering and product
- Acted as primary bridge between support, engineering and product, translating ambiguous issues into reproducible bugs with clear root cause analysis, accelerating resolution and influencing product direction
Debugging & Incident Ownership
- Owned end-to-end resolution of complex Tier-2 escalations across APIs, SAML auth, Jira automations and distributed systems, reducing time to resolution by 25% across the team
- Served as incident point person during live outages, triaging up to 37 concurrent tickets while owning root-cause analysis and customer communication
- Diagnosed issues beyond logs by tracing failures into React/GraphQL code paths and live debugging with engineers, consistently identifying root causes missed in initial investigations
Product & Engineering Impact
- Steered feature design and release quality through UAT participation and production feedback, preventing high-risk bugs ahead of shipping
- Contributed code fixes including logging sanitization and UX improvements, reducing exposure of sensitive data and improving debug-ability
- Partnered with engineering in real time during incidents and escalations, providing system-level context that accelerated debugging and reduced misdiagnosis
Process & Team Impact
- Designed and implemented debugging SOPs, playbooks and training that reduced escalations by 15% YoY by enabling engineers to resolve issues without escalation
- Trained and mentored ~30 engineers across geos, turning JSM Chat from a high-escalation surface into a broadly supported product area
- Established support-engineering huddles and swarm debugging practices, improving trend visibility, alignment and overall resolution speed across a 75-person AMER team
- Improved knowledge systems through structured documentation workflows, reducing reliance on tribal knowledge and increasing support effectiveness