Application Reliability Engineer

Join TripleLift as an Application Reliability Engineer, where you will play a critical role in driving platform and partner reliability. You will own investigations end-to-end, collaborate with various teams, and support overall team efficiency. This position offers unlimited PTO, a 401k with employer match, and the opportunity to build deep expertise in the programmatic ecosystem.

• Own investigations end-to-end and partner closely with Account Management, Engineering, and Product teams for technical deep-dive investigations.
• Update and improve runbooks based on recurring issues to strengthen team processes and reduce repeat escalations.
• Support Account Managers, Customer Success Managers, and external partners with data-backed responses, clearly explaining discrepancies, pacing issues, and integration behavior.

• This is an exciting opportunity for someone who wants to build deep, hands-on expertise across the programmatic ecosystem, take full ownership of technical problems, and grow into broader solutions leadership while contributing directly to the trust our partners place in TripleLift's platform
• Comfort participating in an on-call rotation and managing time-sensitive, partner-facing issues
• Minimum 5 years of experience in a solutions, technical support, or operations role, ideally within AdTech or a related industry
• Working knowledge of programmatic advertising concepts (OpenRTB, header bidding, DSP/SSP, S2S integrations) and core AdTech metrics (fill rate, bid rate, win rate, render rate, discrepancies)
• Ability to read code and write small scripts or queries to support analysis and debugging
• Experience validating REST APIs and troubleshooting tag/pixel implementations
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-technical stakeholders
• Strong SQL skills (joins, window functions) and experience with log analytics/APM tooling (e.g., Grafana, Kibana, Datadog)