Job description

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with over 3,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. Who we are: Ventura OS is a new Smart TV operating system being built inside The Trade Desk, the world’s leading independent platform for digital advertising. Where the wider company runs a global-scale DSP, Ventura is closer to a startup inside it: a small team, direct influence over product direction, and a real OS shipping to real devices in real living rooms. We’re deliberately building the CTV supply chain differently: more efficient for advertisers and publishers, more relevant for viewers, and more transparent end-to-end. The backend that powers all of it is being built now, and the Infra team is the critical foundation for it. About the Team: Infra is the foundation Ventura OS is built on. We own the compute, storage, and networking, including our Kubernetes platform, that every Ventura runs on, plus the source control and CI/CD pipelines that turn code into shipped products. We power the GPU and ML-serving infrastructure behind applied science and AI-assisted tools. We own every build system across AOSP platform, client experience and mobile, along with the lab infrastructure and release pipelines that keep platform engineering moving. We run build-test-deploy infrastructure for every app in the Ventura ecosystem, first-party and third. And we deliver telemetry end to end — from client ingestion to the dashboards leadership reads. If it runs, ships, trains, or gets measured on Ventura OS, it runs on infrastructure we built. What You’ll Do: You'll be an end-to-end owner of the systems this team runs — designing, building, operating, monitoring, and setting the standards other inherit. As a member of the Infrastructure team, you'll be responsible for the scalability, performance, reliability, and visibility of every cloud service powering Ventura TV OS. In addition to the core responsibilities of a backend engineer, you will: Build, automate, and operate the compute (VMs, Kubernetes), networking (VPN, edge services), database (SQL/NoSQL), storage, and identity services every Ventura partner team depends on — using infrastructure-as-code and automation-first practices, and forecasting capacity needs ahead of demand for compute, storage, and GPU resources. Partner with application teams to design, implement, and scale the services and infrastructure behind their products. Own the identity, security, and compliance model for Ventura OS cloud services — authentication, authorization, audit, and adherence to security and compliance standards for every request, from internal employees to external partners. Monitor, troubleshoot, and optimize system performance and cost while balancing availability, efficiency, and cloud spend across the infrastructure we run. Deliver highly available build infrastructure (GitLab, Jenkins, Gerrit) and developer tooling relied on by internal engineers and external partner vendors alike. Own AOSP platform, client experience and mobile build systems, lab infrastructure, release pipelines, and shared platform-engineering tooling plus build, test, and deployment infrastructure for first- and third-party Ventura apps. Lead the GPU infrastructure and model-serving platforms behind applied science workloads and AI-assisted tools, including code review and incident-response automation. Own end-to-end telemetry infrastructure — client-side ingestion, processing pipelines, data warehousing, and analytics reporting with data privacy and governance built in by design. Drive major infrastructure and platform migrations, and lead adoption of new tools and standards across the org Own operational excellence for every service we run — observability, SLOs, on-call, incident response, disaster recovery and business continuity planning, and the documentation and runbooks that keep teams resilient during handoffs. Who You Are: One of the best things about working here is the sheer variety of technical challenges. We don't expect you to know every technology we use on day one — what matters is that you learn quickly and solve complex problems with the best tool for the job. What you already know matters less than how well you adapt, think critically, and figure things out. We're looking for a software engineer with a genuine passion for infrastructure — someone energized by hard, open-ended problems, not just familiar ones. Culture matters here. Ventura is a small, high-impact team inside The Trade Desk, and we take pride in engineers who build trust, give generously, solve problems scrappily, and pursue excellence with grit. In practice, that means working with confidence and without ego: holding well-reasoned opinions while welcoming ideas different from your own, being quick to spot trade-offs, and staying willing to be proven wrong. It also means showing up for your teammates when things get hard. You don't have to check every box below — if you check most of them, you're likely to thrive in this role. What You Bring: 6+ years of software engineering experience, including meaningful time on cloud platforms or distributed systems. Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience — we care more about what you can contribute than your credentials. A sustained track record of self-directed, end-to-end ownership of complex, high-impact projects — you think beyond the immediate task of understanding the "why." Strong engineering fundamentals and first-principles thinking. At our scale, many off-the-shelf tools and techniques don't work out of the box, and you can evaluate and adapt solutions to a unique environment. Commercial development experience in a modern backend language (Node.js/TypeScript, Java, Kotlin, Go, or C#). Extensive hands-on experience designing and operating cloud services and/or infrastructure in production, at a meaningful scale. Strong background in infrastructure-as-code and automation, and the discipline to get it right. Hands-on experience instrumenting production services for observability — metrics (e.g., Prometheus), structured logging, distributed tracing — and operating with SLO-driven, on-call rigor. Solid understanding of relational and NoSQL data stores (Postgres, MySQL, Redis, or similar), including safe tenant-scoped data modeling. Experience owning a shared platform that other engineering teams build on — codifying standards, running "paved paths," and driving adoption without disrupting partner teams' delivery. A track record of sound technical decision-making, with experience of mentoring engineers through code and design review. Strong communication skills with both technical and non-technical audiences, and comfort scoping and sequencing work under ambiguity. Nice to Have Qualifications: Deep understanding of cloud services and Kubernetes on AWS, GCP, or Azure at scale. Exposure to identity/security systems (authN/authZ, audit) in a production environment. Familiarity with GPU infrastructure or ML-serving platforms. Background in Smart TV, OTT, or CTV services — or on any infrastructure layer that backs up a hardware fleet or a consumer-facing OS. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $137,300 — $251,800 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.

Requirements

Must-haves

If it runs, ships, trains, or gets measured on Ventura OS, it runs on infrastructure we built.
In addition to the core responsibilities of a backend engineer, you will:
Partner with application teams to design, implement, and scale the services and infrastructure behind their products.
Monitor, troubleshoot, and optimize system performance and cost while balancing availability, efficiency, and cloud spend across the infrastructure we run.
Deliver highly available build infrastructure (GitLab, Jenkins, Gerrit) and developer tooling relied on by internal engineers and external partner vendors alike.
Lead the GPU infrastructure and model-serving platforms behind applied science workloads and AI-assisted tools, including code review and incident-response automation.
Own end-to-end telemetry infrastructure — client-side ingestion, processing pipelines, data warehousing, and analytics reporting with data privacy and governance built in by design.
Drive major infrastructure and platform migrations, and lead adoption of new tools and standards across the org
We're looking for a software engineer with a genuine passion for infrastructure — someone energized by hard, open-ended problems, not just familiar ones.
You don't have to check every box below — if you check most of them, you're likely to thrive in this role.
A sustained track record of self-directed, end-to-end ownership of complex, high-impact projects — you think beyond the immediate task of understanding the "why."
Strong engineering fundamentals and first-principles thinking. At our scale, many off-the-shelf tools and techniques don't work out of the box, and you can evaluate and adapt solutions to a unique environment.
Commercial development experience in a modern backend language (Node.js/TypeScript, Java, Kotlin, Go, or C#).
Extensive hands-on experience designing and operating cloud services and/or infrastructure in production, at a meaningful scale.
Strong background in infrastructure-as-code and automation, and the discipline to get it right.
Hands-on experience instrumenting production services for observability — metrics (e.g., Prometheus), structured logging, distributed tracing — and operating with SLO-driven, on-call rigor.
Solid understanding of relational and NoSQL data stores (Postgres, MySQL, Redis, or similar), including safe tenant-scoped data modeling.
Experience owning a shared platform that other engineering teams build on — codifying standards, running "paved paths," and driving adoption without disrupting partner teams' delivery.
A track record of sound technical decision-making, with experience of mentoring engineers through code and design review.
Strong communication skills with both technical and non-technical audiences, and comfort scoping and sequencing work under ambiguity.
Deep understanding of cloud services and Kubernetes on AWS, GCP, or Azure at scale.
Exposure to identity/security systems (authN/authZ, audit) in a production environment.
Familiarity with GPU infrastructure or ML-serving platforms.
Background in Smart TV, OTT, or CTV services — or on any infrastructure layer that backs up a hardware fleet or a consumer-facing OS.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cdmlaisqlnode.jstypescriptjavakotlingopostgresawsgcpazureaccessibility

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave