"streaming compute systems" Jobs
104 open tech roles matching “streaming compute systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 104 results
Join Databricks as a Sr. Solutions Architect to lead the growth of the Data Intelligence Platform in the financial services sector.
Join Rogo as a Full-Stack Engineer to shape cutting-edge AI tools for the finance industry in a fast-paced startup environment.
Lead the technical strategy for customers in the communications, media, entertainment, and games sectors as a Solutions Architect at Databricks.
Lead engineering projects at Harvey AI, building innovative AI-driven solutions for legal and professional services.
Drive developer productivity at CoreWeave by leveraging data insights to enhance the internal developer platform.
Lead the Enterprise Architecture, Automation, and Integration team to optimize business processes and technology execution at Fastly.
Join Anthropic as an IT Support Engineer to enhance employee experience and streamline IT operations in a fast-paced environment.
Lead a team of product managers to define and launch innovative telemetry analytics for Datadog's Bring Your Own Cloud program.
Join Arize AI as a Senior AI Product Engineer to build scalable backend systems for ML observability in a hybrid work environment.
Join Lyft as a Data Analyst Intern to leverage data in shaping the future of bikesharing in urban mobility.
Join Rain as a Machine Learning Engineer to build scalable systems for fraud detection in a fast-paced, hybrid work environment.
Join Databricks as a Delivery Solutions Architect to drive customer success and platform adoption in a hybrid role.
Join Stripe as a Capital Markets, FX Specialist to manage FX risks and develop pricing strategies in a dynamic financial infrastructure environment.
Join Peregrine as a Staff Data Infrastructure Engineer to architect and build systems for real-time operational data at scale.
Lead a hands-on engineering team focused on data and ML infrastructure for a robotics platform in a hybrid NYC environment.