Top Remote Python Jobs

The Platform Engineer will architect, implement, and support a multi-tenant SaaS platform. Responsibilities include automating software deployment and maintenance, assisting product engineering teams, contributing to SRE processes, and participating in incident response within an Agile Scrum team. Mentorship and process improvement are also key aspects of the role.

The Senior Manager of Solutions Engineering at Couchbase leads a team of Solutions Engineers focused on strategic accounts in the western U.S., driving customer success and technical engagements while collaborating with sales and product teams.

The Python Developer will build features and functionality for a web publishing platform within the Edison team. Responsibilities include using automated testing practices, working with AWS services like ECS and Lambda, and collaborating with a distributed team on Continuous Delivery processes. Experience in Agile methodologies is essential, along with familiarity with PHP and Drupal being a plus.

The Software Application Development Engineer at Intel will design and develop scalable factory automation solutions, enhance manufacturing processes through data-driven approaches, and collaborate with cross-functional engineering teams. The role requires adept problem-solving, adaptability, and experience in software development, specifically within manufacturing execution systems.

The Senior Software Engineer will develop and optimize systems software for Corelight's Open NDR appliance, work with Linux systems, and integrate new cloud-native products using Docker and Kubernetes, while supporting networking and automation.

As a Software Engineer at Dataiku, you will contribute to the design and implementation of Dataiku Cloud, working across back-end and front-end development. Your responsibilities include developing new features for user experience, managing DSS instances, and improving code quality for the platform's performance and availability.

As a Principal Consultant, you will design and implement cloud-based solutions and machine learning operations, mainly using AWS services. You will manage architecture governance processes, develop data pipelines, and collaborate with various teams to optimize data models. Strong technical communication skills are essential for engaging with stakeholders and presenting complex information clearly.