Top Software Engineer Jobs
Develop essential tools, maintain system observability, troubleshoot issues, mentor DevOps engineers, collaborate across teams, and evaluate best practices for monitoring.
As a Data Integration Engineer at Riskified, responsible for ensuring accurate and complete data from clients to feed data science models, supporting data flows for merchant integrations, testing and validating data, maintaining data configuration layer, and collaborating with various teams for tailored solutions.
Lead a team of Data Integration Engineers, provide technical guidance on data integration, and collaborate with various teams to improve eCommerce conversion rate and reduce online fraud.
Lead the development and implementation of advanced analytical solutions for real-world applications, focusing on constructing infrastructure for training machine learning models and integrating ML capabilities into the product ecosystem.
Lead and develop a high-performing team focused on constructing infrastructure for machine learning models and integrating ML capabilities into product ecosystem. Develop and implement advanced analytical solutions bridging data science and engineering worlds.
Design and develop a highly reliable, available, and scalable architecture for core services and products, work with large volumes of data, collaborate with other teams on cross-department projects, and be an active part of planning team roadmap and products.
Design and develop a highly reliable, available, and scalable architecture for core services and web applications in a new promising product. Deploy code to production daily, collaborate with other engineering teams, and be a strong owner of production systems.
As a Data Platform Engineer at Riskified, you will architect scalable data solutions using Apache Spark, work on real-time ETL processes with Apache Kafka, and enhance the scheduler workflow engine operation. Join a dynamic tech company with a collaborative and innovative environment!
Design and develop a highly reliable, available, and scalable architecture for core services and flagship products. Deploy code to production daily, work with large volumes of data, and collaborate with engineering teams and product managers on cross-department projects.
Lead a high-performing team to develop advanced analytical solutions and build scalable ML infrastructure for efficient data processing and model deployment. Bridge the gap between data science and engineering, monitor application health, and stay updated on industry methodologies and technologies.
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