Technical Support Analyst delivering high - quality technical support for cloud - based SaaS platforms at Kinetic. Focusing on problem - solving and customer interaction with a strong technical aspect.
About the role
- Technical Support Engineer investigating technical issues in healthcare staffing platform for remote-first company. Monitoring queues, troubleshooting incidents, and collaborating with teams to ensure platform reliability.
Responsibilities
- Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers
- Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering.
- Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication
- Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off
- Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring
- Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention
- Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements
- Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction
Requirements
- Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem.
- Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework.
- End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs.
- Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high.
- Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip.
- Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence.
- Fluent, professional-level English communication, both written and verbal.
- Nice to Have: Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar), Familiarity with SQL and reading application logs, Background in technical support, SRE, incident response, or a related engineering-adjacent function, Exposure to AI-assisted coding/agent tooling, Experience in Ops, Support, or CX environments at scale.
Benefits
- Clipboard operates 24/7
- Team members work 5 days within a 7-day schedule, including weekend availability.
- Shifts are assigned based on business needs.
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