Technical Support Engineer- Tier 3

Realize your potential by joining the leading performance-driven advertising company! As a Technical Support Engineer on the team in our Budapest office you are the technical owner of OEM and publisher partner relationships from a support perspective. You investigate revenue and inventory anomalies, debug ad-serving and tracking issues, triage feed-ingestion and content-categorization problems, and partner with R&D to root-cause and fix issues spanning product, infrastructure and algorithmic layers. This is a deeply technical, high-ownership, AI-forward role. The team runs a production portfolio of internal AI tooling — RCA agents, investigation apps and monitoring automation deployed on an internal platform — that has cut investigation times on several workflows from hours to minutes. You will use that tool kit, extend it, and build new pieces of it. Expect to write SQL, Kusto and BigQuery, read code, navigate distributed systems, communicate clearly with R&D and business partners, and use AI tooling fluently as a force multiplier for all of the above. To thrive in this role, you'll need: • Strong SQL. Comfortable with complex multi-join queries, CTEs and window functions against large analytical datasets. • Experience in technical support, technical operations or production engineering on a complex distributed system. • Able to read code well enough to trace logic and locate issues. • Strong written and verbal English; able to communicate technical findings to engineers and business stakeholders alike. • Investigative mindset — you enjoy converging on the root cause from an ambiguous problem report. • AI fluency. Daily use of AI coding assistants and LLM tooling for code, queries, log analysis, summarisation and small automations. Willing to build internal tools rather than wait for them. Bonus points if you have: • Hands-on experience building agents, MCPs or AI-assisted automations, beyond using off-the-shelf assistants. • Ad-serving systems experience (DFP/GAM, programmatic, fallback paths, attribution, tracking). • RSS feed-ingestion pipeline experience. • Production monitoring and on-call experience (alerts, dashboards, incident response). How you’ll make an impact: • Investigate publisher-side and OEM-partner technical issues end to end: revenue drops, inventory imbalances, tracking gaps, ad-serving fallback issues, content categorization errors, feed ingestion problems. • Write and refine SQL (MySQL, Vertica), KQL (Kusto), and BQ (BigQuery) against production data sources. Use Grafana, Kibana, Tableau, and internal tooling to monitor and drill into anomalies. • Build, tune and own production alerts for the surfaces you cover. • Share PagerDuty on-call and production-incident response for Taboola News. • Operate and extend the team's AI tooling portfolio — RCA agents, investigation apps, monitoring automation — and take ownership of stalled initiatives with existing internal demand. • Partner with R&D and Product: triage what needs engineering involvement, frame the technical question, follow through to resolution. • Build internal tooling and runbooks with AI assistance; document recurring investigation patterns. • Identify systemic patterns across tickets and feed them back into product or platform improvements. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: • Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture. • Well-being:Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gy