Senior Support Engineer
KarbonAbout Karbon
Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List.
About the Role
As a Senior Support Engineer at Karbon, you sit at the deepest tier of our engineering support function. You are the last line of investigation before an issue reaches a product engineering team, and you take genuine ownership of the cases that reach you. Your work is a mix of deep technical diagnostic, production data operations, and clear cross-functional communication.
Our T3 function operates on a few core principles: quality of investigation over reactive throughput, durable fixes over repetitive patches, safe production access with strong governance, and knowledge treated as infrastructure. We expect Senior Support Engineers to embody these principles in how they work and to raise the bar for the engineers around them.
This role works roughly US Pacific hours to provide coverage for our North American customer base and is only open to candidates located in Pacific Time Zone.
As a Senior Support Engineer, you will...
- Lead root cause analysis on highly complex issues: Take ownership of escalations that require structured RCA, isolating issues to specific services, workflows, or data states. You are comfortable resolving highly complex issues in familiar systems and medium complexity issues in unfamiliar ones, and you can articulate the why, not just the what.
- Read the source: Read C# and the broader .NET stack well enough to follow application logic, trace through a method, and pinpoint where behaviour diverges from expectation. You are not expected to ship production code, but you are expected to understand it.
- Write safe, considered SQL: Diagnose data-layer issues by writing and reviewing SQL against production-shaped data. Design safe remediation plans, anticipate downstream implications, and create reusable stored procedures for recurring intervention patterns.
- Make sound production access decisions: Operate within our production safety guardrails, evaluate trade-offs on higher-risk interventions, and review remediation plans before they execute. You model the behaviour you want to see across the function.
- Investigate and reproduce defects across the platform: Use logs, telemetry, API behaviour, and environment replication to confirm whether something is a bu
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