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Posted 12 June, 2026

Software Engineer II

The Trade Desk
Sydney Full Time
Reference: 102_718688_5159472007

About the Team:
The Service Excellence (SE) team owns the tools and infrastructure that help engineers at The Trade Desk understand and operate production systems. The Monitoring & Observability (MOT) taskforce focuses on the observability systems. The team is responsible for the observability platform - metrics, logs, traces, alerting, and dashboards - used across TTD engineering.


What you will work on:

  • Metrics platform - Build and operate the metrics platform that ingests, stores, and serves time-series data for every engineering team at TTD.
  • Distributed tracing - Help engineers find the needle in the haystack with OTel pipelines, trace sampling, and Honeycomb.
  • Alert quality tooling - Build the systems that give engineers better signal and less noise - smarter routing, better grouping, tighter feedback loops between alerts and the teams that own them

Who you are:

  • Curiosity about how production systems work - some exposure to deploying, operating, or debugging real services.
  • Willingness to work across the stack - the role touches distributed systems, Kubernetes, observability pipelines, and web-based tooling, and you'll pick up what you don't know yet.
  • Familiarity with observability concepts: logging, alerting, on-call workflows
  • A debugging mindset - you're the kind of person who likes figuring out why something broke.
  • Clear communication - the team works closely with engineers across the company, and you'll explain what you're doing and ask for help when you need it.

Plus skills:

  • Experience with observability tools and infrastructure
  • Experience with Kubernetes
  • Experience with Agentic engineering

Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job.What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.

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