Top Remote Python Jobs in New York City, NY

In this role, you will enhance the quality and efficiency of mobile applications at Cash App by developing automation and tooling features, maintaining automated testing frameworks, collaborating across teams, and mentoring junior engineers.

As a Full-Stack Engineer, you will integrate advanced computer vision capabilities into the mobile app, primarily focusing on iOS development. You will collaborate with various teams to introduce machine learning models, ensuring seamless user workflows and maintaining high-quality software standards.

As a Customer Engineer, you will onboard Enterprise and Mid-Market accounts, implement onboarding frameworks, educate users, and influence customer engagement. You will track customer health and identify reusable patterns to enhance the product experience, working closely with internal and external stakeholders.

The Senior Software Engineer, Automation and Tooling will develop and maintain automated testing frameworks, improve product quality and engineering efficiency, and collaborate with cross-functional teams to enhance testing strategies. The role includes mentoring other engineers and engaging in code reviews to ensure quality standards are upheld.

As a Developer Advocate focused on Kubernetes, you will create various forms of content to enhance Datadog's reputation in DevOps and Monitoring. Responsibilities include building demos, public speaking, creating documentation, and interfacing with open source communities. You will leverage your software development experience and storytelling skills to contribute to cloud observability and monitoring.

The Lead AI/ML Engineer will analyze business requirements and design, develop, and deploy AI solutions. Responsibilities include leading AI/ML initiatives, building end-to-end automated pipelines, researching AI technologies, and mentoring team members while ensuring ethical AI practices.

As a Technical Lead in Data Engineering, you will develop high-performance ETL and data processing pipelines, provide architectural oversight, mentor team members, and ensure the reliability of distributed data systems. Your role involves collaborating across teams and leading engineering best practices while working with large volumes of data in a cloud-native environment.