Investigate technical issues reported by enterprise customers - analyse symptoms, form hypotheses, follow the evidence to root cause
Use observability tooling (Datadog logs, traces, metrics, dashboards) to diagnose issues across distributed services
Read code across multiple repositories to verify hypotheses and trace request flows.
Query databases when needed to confirm system state and reproduce issues
Manage tickets through their full lifecycle, from intake to resolution, across the support → engineering escalation chain
Communicate proactively and professionally with enterprise customers: structured updates, clear next steps, calibrated expectation management
Partner with engineering teams when escalation is needed - frame issues clearly, provide reproducible evidence, advocate for customer impact
Document findings, contribute to internal knowledge bases, and surface recurring patterns to drive systemic improvements
Participate in rotational on-call coverage for high-severity incidents (evenings, weekends), supporting our enterprise customers when issues cannot wait until business hours
Qualifications
2+ years in a Technical Support, Application Support, Site Reliability, or adjacent technical role
Proven experience supporting enterprise (B2B) customers, ideally in a SaaS or cloud-based product environment
Comfortable reading server-side code in at least one language to trace logic and verify code paths
Hands-on experience with observability and central logging tooling - Datadog preferred; familiarity with central logging platforms (Kibana / OpenSearch / Elasticsearch or similar) is a strong plus