Top Python Jobs in Las Vegas, NV

The Principal Threat Researcher conducts threat research, develops content for marketing, and mentors junior researchers on cybersecurity trends and threats.

The Senior Full Stack Engineer will develop AI/ML features in ClickHouse Cloud, integrating databases with AI capabilities, ensuring robust API design, and building user-friendly interfaces.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

As a Java Performance Optimization Engineer, you'll optimize Java workloads on Tenstorrent hardware, focusing on JVM internals, concurrency, and performance profiling.

Conduct research and develop machine learning models for phishing and spam detection. Collaborate on integrating these models into production and mentor junior members.

The role involves developing backend services primarily using Java, collaborating within teams, reviewing code, and supporting on-call rotations, while leveraging various modern tools and technologies.

The Technical Account Manager (TAM) serves enterprise clients by optimizing their use of Aiven's services, advocating for their needs, and collaborating with cross-functional teams to ensure customer satisfaction and success.

As a Sr Software Engineer at EverHealth, you will design and develop software features, assist with debugging, and maintain code quality in an agile environment.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Lead and manage a team of engineers focusing on optimizing Ubuntu for public cloud performance. Ensure quality delivery and foster growth among team members.

As a Staff/Principal Backend Engineer at Clockwise, you will architect backend systems, develop algorithms, and collaborate on product design while maintaining high code quality through automated testing.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.