The global technology and services provider to the digital audio, podcast, and broadcast radio industries.
New York, NY
Triton Digital® is the global technology and services leader to the digital audio and podcast industry. Operating in more than 80 countries, Triton provides innovative technology that enables broadcasters, podcasters, and online music services to build their audience, maximize their revenue, and streamline their day-to-day operations. In addition, Triton powers the global online audio industry with Webcast Metrics®, the leading online audio measurement service and Podcast Metrics, one of the first IAB certified podcast measurement services in the industry. With unparalleled integrity, excellence, teamwork, and accountability, Triton remains committed to connecting audio, audience, and advertisers to continuously fuel the growth of the global online industry. For more information, visit www.TritonDigital.com. Nous sommes le leader mondial en matière de technologie et de services de streaming audio et de podcast. Nous opérons dans plus de 80 pays et nous fournissons une technologie innovante permettant aux diffuseurs, aux podcasteurs et aux services de musique en ligne de développer leur audience, de maximiser leurs revenus et de rationaliser leurs opérations. Avec une intégrité, une excellence, un travail d'équipe et une responsabilité sans précédent, Triton reste déterminé à connecter l'audio, le public et les annonceurs pour alimenter en permanence la croissance de l'industrie mondiale en ligne. Pour plus d'informations, visitez www.TritonDigital.com.
Remote · Montreal, Quebec, Canada
Design and develop new features and robust data pipelines handling terabytes of daily workloads. Collaborate with product managers and participate in the full application development lifecycle within an Agile environment.
Remote · Ontario, Canada, Quebec, Canada
The Global Programmatic Specialist will manage and optimize Triton’s programmatic ecosystem, focusing on SSP, DSP, and ad server integrations. This role involves collaboration with demand teams and clients to enhance supply performance and marketplace growth.
Remote · Ontario, Canada, Quebec, Canada
As an MLOps Data Engineer, you will bridge data science and production systems, ensuring models thrive in real-world environments. You will design and automate CI/CD pipelines and optimize large-scale data processing to deliver reliable machine learning solutions.
Remote · Ontario, Canada, Quebec, Canada
Design, build, and maintain scalable RESTful/GraphQL APIs and microservices that power the AI chatbot and other backend systems. Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features.
Remote · Toronto, Ontario, Canada
Contribute to the design and development of new features and improve existing functionalities. Develop and maintain robust data pipelines and applications processing terabyte-scale loads daily.
Remote · Toronto, Ontario, Canada
Design and develop robust data pipelines and features for a platform helping broadcasters and podcasters maximize online revenue. Collaborate with product teams and act as a strategic expert to improve technical processes and operational efficiency.
Remote · Ottawa, Ontario, Canada
Contribute to the design and development of new features and improve existing ones. Develop and maintain robust data pipelines and applications processing terabyte-scale loads daily.
Remote · Ottawa, Ontario, Canada
Design and develop robust data pipelines and features for a platform helping broadcasters and podcasters maximize online revenue. Contribute to the full application development lifecycle and act as a strategic expert on complex technical and operational issues.
Remote · Canada
Contribute to the design, development, and maintenance of robust data pipelines and software features at a terabyte scale. Collaborate with product teams to define future solutions while participating in the full application development lifecycle.
Remote · Canada
Contribute to the design and development of new features while maintaining robust data pipelines for terabyte-scale workloads. Collaborate with product teams to define future solutions and participate in the full application development lifecycle.
