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Sr Site Reliability Engineer

The Trade Desk
Sydney, AUS
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Network automationSite reliability engineeringTCP/IPBGP and OSPFKubernetes networkingCilium and Calico
Free

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Network automationSite reliability engineeringTCP/IP
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About The Trade Desk

The Trade Desk is a global technology company providing an independent digital advertising platform across streaming TV, podcasts, mobile apps, news, and other open-internet channels.

Its global platform processes massive datasets in real time and supports systems operating at worldwide scale.

About the Team

The Network Team owns end-to-end networking across large-scale bare-metal datacenters and major public cloud platforms.

The team works at the intersection of network engineering and software development with application, datacenter, and SRE teams.

The team uses a software-first approach and integrates AI-assisted development tools such as Cursor and Claude.

Who They Are Seeking

The role seeks a Senior Software Engineer with deep networking expertise and strong software craftsmanship.

The engineer will help shape network automation strategy and build scalable, maintainable solutions for global infrastructure.

Core Responsibilities

  • Design, build, and scale a global network platform spanning physical datacenters and AWS, Azure, and Alibaba Cloud.
  • Support thousands of hosts and address petabyte-scale data challenges.
  • Troubleshoot complex network issues and maintain high availability and performance.
  • Lead root cause analyses and postmortems and implement improvements from incidents.
  • Automate workflows, eliminate toil, and improve operational processes.
  • Participate in a global follow-the-sun on-call rotation.

Technical Experience

  • Six to eight years of hands-on network automation and operational experience supporting large-scale production infrastructure.
  • Deep expertise in TCP/IP, the OSI model, BGP, OSPF, Kubernetes networking, container networking, and software load balancers.
  • Experience with IPv6, software-defined networking, quality of service, network operating systems, monitoring, and alerting.
  • Experience applying infrastructure as code, DevOps, and SRE principles to network engineering.
  • Proficiency creating automation and tools with Python or Go.

Additional Experience

  • Experience with Kubernetes and Docker troubleshooting and performance tuning, including bare-metal Kubernetes as a plus.
  • Experience integrating AI tools, LLMs, MCP, or agentic workflows into engineering processes.
  • Strong communication, documentation, collaboration, critical thinking, and self-directed delivery skills.

Working Approach

The team values fast learning, creative problem solving, high-impact contributions, operational discipline, and cost-effective scaling.

Engineers are not expected to know every technology used by the team at the start.

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