Top Software Engineer Jobs
As an Account Manager on SpringServe, responsible for client migration and success, troubleshooting technical issues, understanding client's business, collaborating with clients, educating clients on SpringServe, defining migration plans for new clients, and providing responsive client support. Requires strong analytical, troubleshooting, project management, and interpersonal skills. Knowledge of video advertising, SQL, Python, Pandas, and experience in providing technical support for SaaS platforms are desired. Experience in adtech industry is a plus.
The Senior Engineer, Reporting and Insights at Magnite is responsible for developing and maintaining reporting API, supporting reporting clients, working on near real-time reporting applications, standardizing report access, and optimizing query performance. The role requires 4+ years of experience as a full stack engineer with a passion for data and challenges with scale.
Join Magnite as a Senior Manager, QA Engineering to lead a team in test strategies, automated testing, and quality assurance for ad tech products. Collaborate with product and development teams to deliver quality software.
Develop and maintain pipelines processing billions of records, work on near real-time applications, join datasets for optimized access, develop applications for deep insights, and optimize query performance for API access. Requires 2+ years of data pipeline/data science experience, proficiency in Scala, functional and object-oriented programming, and SQL understanding.
Join Magnite as a Senior Software Engineer at SpringServe Ad Server team to work on a globally distributed ad serving system handling billions of requests daily. Responsibilities include full-stack design, development, testing, and maintenance of the advertising server and buying platform. Requires 5+ years of software development experience with expertise in Java and backend development.
Join the Data Engineering team at Magnite to handle internet-scale data problems, architect and build systems, and promote a culture of collaboration and mentorship. Responsibilities include end-to-end ownership of the team's data pipeline and addressing challenges related to highly-scalable infrastructure and cost optimization.
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