The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch, to assist with optimizing different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. This role involves engineering custom solutions to solve complex data-related sports challenges across multiple leagues.
As Lead Engineer for Cortex’s Platform, you will play a pivotal role in defining the architecture of our infrastructure. Working closely with engineering and product, you will spearhead the development of foundational platforms that ensure scalability, reliability, and efficiency for our growing customer base.
Tackle complex challenges by designing and implementing scalable, reliable infrastructure and services that power the future of customer engagement technology. You'll leverage your extensive expertise in backend systems and infrastructure management to enhance the performance and reliability of our platforms. Your contributions will directly influence the shaping of architecture and operational excellence needed for our product to thrive.
We are looking for a Senior Software Engineer-DevOps with a proven track record of partnering across various teams to deliver a quality, well-tuned system that performs and scales at peak load. In this role, you will be working with key members of our Performance Tools Operations teams, System Administrators, and Network Engineers to meet the growing needs of our largest customers.
Manage code deployments, fixes, updates, and related processes. Leverage Google Cloud Platform and Kubernetes to enable developers to run their software in a self-reliant fashion. Improve and maintain the infrastructure behind continuous integration and delivery pipelines. Discover, analyze and troubleshoot anomalous application behaviors. Deploy monitoring and infrastructure tools exposing metrics and alerts.