Top Software Engineer Jobs
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
As a Senior Systems Engineer at Kargo, you will build and enhance the cloud infrastructure, ensuring its scalability and durability. You will work with Kubernetes on AWS, set up continuous integration tools, support data engineering efforts, and improve internal services while scripting when necessary.
As a Software Engineer II at Kargo, you will work on video ad delivery systems, handling billions of ad requests. Collaborate on full-stack development, participate in the Agile process, and innovate on measurement and management of video ads. You'll mentor peers and contribute to the team's technical growth.
As a Senior Software Engineer, you will lead and mentor within Kargo’s contextual and identity targeting platform, optimizing solutions for a large-scale distributed advertising auction platform while working with large datasets and ensuring high code quality.
As a Senior Software Engineer at Kargo, you will lead strategic projects, develop scalable code, mentor other engineers, and collaborate with cross-functional teams to enhance a video player and content management platform. You will focus on improving developer experience through modern tools and managing project execution effectively.
Kargo is seeking a Senior Analytics Engineer to build data pipelines, optimize data architecture, and lead the implementation of dbt for data transformation. Responsibilities include collaborating with analysts, ensuring data quality, and mentoring junior engineers, all while supporting business needs with insights across teams.
As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.
The Machine Learning Engineer will design, develop, deploy, and maintain machine learning models, collaborating with engineering and product teams to integrate these solutions into the advertising platform, and optimizing model performance over time.
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