Top Logistics Python Jobs

Senior Cloud Engineer position at Zello. Responsible for building and optimizing automation systems, managing continuous integration and deployment solutions, implementing monitoring solutions, and modernizing the platform infrastructure.

Manage a team of engineers building applications, services, and cloud infrastructure for a high-growth startup. Collaborate with product management and engineering to drive quality and iterative development. Evaluate new technology solutions to accelerate engineering and product organization. Empower teams to deliver their very best.

LeafLink is looking for a DevOps Engineer to join their remote team and contribute to building and improving their platform. The role involves driving improvement of services, creating actionable insights, maintaining platform reliability, and enhancing customer experience through data analysis and service improvements.

Senior Software Engineer focused on Kubernetes Service Platform team, responsible for architecting, building, and improving automation between infrastructure and application. Key responsibilities include deployment lifecycle, system monitoring, tooling integration, and scaling systems sustainably. Required qualifications include a Bachelor's degree in Computer Science, over 5 years of production experience, proficiency in programming languages, automation in public cloud environments, containerization, secure systems design, and knowledge of web applications.

The RPA Developer at Arrive Logistics will design, develop, test, and deploy new RPA solutions using UiPath. They will collaborate with business analysts and senior developers to automate processes and provide technical documentation. The role also involves testing, troubleshooting, monitoring performance, and staying updated on RPA trends and technologies.

Work closely with product managers, product designers and other engineers to improve Front’s KB and related offerings. You will conceptualize, design, implement, test, and launch improvements and integrations that extend the knowledge base’s capabilities and use cases.

Join Uber's Global Intelligence Team as a Software Engineer II - Data Engineering. Design and develop systems for data-driven decision-making, work on large-scale distributed storage and database systems, and collaborate with multi-functional teams. Preferred qualifications include knowledge of science models, Hadoop technologies, and a degree in Computer Science or related field.