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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Software Engineer II - Buying

Requirements

  • You are comfortable working on an agile, distributed team spanning multiple time zones and continents.
  • You are able to communicate effectively across both technical and non-technical audiences.
  • You have a solid understanding of computer science and engineering fundamentals.
  • You have experiences working with distributed systems.
  • You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python, SQL, or Scala.
  • You have some knowledge of software development code editors: Visual Studio, Visual Studio Code, Rider) and version control systems (Git, Perforce).
  • You have 2+ years of software development, engineering experience.
  • You have a Bachelor’s/Master’s level degree in a computer-science or relevant engineering related field or equivalent experience.

Nice to Haves

  • You have additional experience in database engines, building micro-services, operating systems and cloud, Kubernetes, Kafka.

What you'll be doing

  • Design, build, deliver and own full lifecycle development software from inception to production.
  • Demonstrate a firm grasp of the entire software development lifecycle.
  • Drive complex changes involving multiple components.
  • Deliver quality changes, including automated tests, metrics, and monitoring.
  • Collaborate with team members to deliver features.
  • Guide and review changes to product features in line with product roadmaps.
  • Implement and maintain product features.
  • Validate changes to ensure high quality product releases.
  • Work in a distributed system environment.
  • Understand the business objectives behind the code.

Perks and Benefits

  • The Trade Desk is an equal opportunity employer
AI Summary ✨
The Trade Desk logo

The Trade Desk

London, UK

Experience: Mid-level
Posted: April 20, 2026
Last seen: 2 hours ago
backend

Why we track The Trade Desk

The Trade Desk has EU offices and works on programmatic advertising infrastructure. It's not the most glamorous space, but the engineering challenges around real-time bidding, data processing at scale, and ML are technically deep.

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