Top Entry Level Python Jobs in Philadelphia, PA

The Software Engineer will maintain and enhance developer workflows, collaborate with engineering teams to improve CI systems using AWS and Buildkite, develop automation tools, design monitoring services, and contribute to migrating the build system to Bazel.

The AI Software Engineer will develop components for an AI software stack, port AI applications to new hardware platforms, tune AI applications, implement mathematical operators, and validate AI models. The role requires strong problem-solving abilities and collaboration skills.

As a Full Stack Engineer at DoraHacks, you will be responsible for daily product development, including frontend and backend tasks. You will communicate with various teams and write test cases for effective solutions, while fixing bugs in real-time and enhancing products using AI concepts.

The Customer Solutions Software Engineer develops and deploys data solutions, collaborates with teams to integrate data pipelines and optimize robot configurations, handles software releases, conducts data audits, and contributes to neural network training for improved performance.

The Web App Developer will be responsible for developing and maintaining the front-end and back-end of a web application, integrating AI/ML models, optimizing databases, and collaborating with stakeholders to deliver functional solutions while ensuring performance and usability.

As a Platform Engineer at Swiftly, you will enhance the software platform, ensuring reliability and performance of transit data services. Responsibilities include fostering a DevSecOps culture, automating infrastructure provisioning with tools like Terraform, managing cloud services, and optimizing CI/CD pipelines. Your work will directly impact transit agencies by improving service reliability.

As a DevOps Engineer at FLASH, you will enhance and manage our Linux infrastructure, develop scalable APIs, and work on transaction processing and high-availability systems. You will troubleshoot technology issues, optimize performance across embedded software stacks, and automate processes to improve system scalability. Collaboration with various teams is essential.