> Markdown version of [/jobs/ext/2668737-staff-software-engineer](https://www.wearedevelopers.com/jobs/ext/2668737-staff-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** Warner Bros. Discovery - **Location:** Amsterdam, Netherlands - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Data Integrity, Distributed Systems, Node.Js, Systems Integration, TypeScript, ReactJS, Delivery Pipeline, Vue.js, Low Latency, Apache Kafka, Data Management, Front End Software Development, Data Pipelines - **Published:** September 2, 2026 - **Apply:** https://dejobs.org/x/x/AAC583A9F10B4735AF0B8197F1D07DF9/job/ ## About the Role * Deep experience designing and building distributed systems or platform services used by multiple teams. * Strong background in backend engineering (e.g., APIs, data pipelines, services), with comfort working across client, server, and edge environments, especially Node.JS, as well as frontend engineering, including TypeScript, JavaScript, and frameworks such as Vue or React. * Proven ability to design performant, low-latency systems that operate at scale. * Experience working with experimentation, feature flagging, analytics, or data platforms (vendor or in-house). * Solid understanding of data quality, observability, and measurement in production systems. * Ability to set technical direction for complex problem spaces and guide architecture decisions beyond your immediate team. * Comfort navigating ambiguous, cross-cutting challenges that span teams, vendors, and platforms. * Strong written and verbal communication skills, especially when explaining technical tradeoffs to non-engineering partners. * A track record of influencing without authority and driving alignment across senior stakeholders. * Familiarity with edge compute, CDN-based architectures, or server-side experimentation . * Experience integrating and optimizing deployment pipelines (CI/CD) * Fluent in English Nice To Haves * Exposure to media, content, or consumer-scale digital products . * Interest in applying AI or automation to accelerate experimentation workflows. * Kafka * Go * Rust * Content Management Systems ## Description As a Staff Software Engineer on Experimentation Tooling, you will be a senior technical leader responsible for designing and evolving core experimentation infrastructure used by product, editorial, and analytics teams across the organization. This is a hands-on individual contributor role with significant influence over architecture, technical direction, and engineering standards. You will work on systems that power client-side, server-side, and edge experimentation, unify metrics and reporting, and dramatically reduce the time and friction required to launch and analyze tests. You'll partner closely with product managers, data teams, platform teams, and other senior engineers to scale experimentation safely and effectively. The Daily * Lead technical design and architecture of core experimentation services and platforms, with a focus on scalability, reliability, and low latency. * Build and evolve a centralized, vendor-agnostic experimentation platform , enabling multiple teams and products to run experiments consistently across surfaces. * Enable edge and server-side testing capabilities to expand experimentation options while minimizing performance impact on end users. * Champion data integrity and measurement excellence , helping design systems that surface source-of-truth metrics and automate experiment analysis and reporting. * Reduce friction and increase velocity by automating experimentation workflows from ideation through results, enabling more concurrent and higher-quality tests. * Act as a technical mentor and force multiplier , raising the bar for engineering quality, design rigor, and operational excellence across the team. * Collaborate cross-functionally with product, editorial, analytics, and platform partners to ensure experimentation tooling meets real-world needs and is widely adopted. * Model platform-as-a-product thinking , measuring success through adoption, reliability, performance, and impact-not just feature delivery. ## Related Videos - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [Stop using Node.js like in 2020! 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