Top Python Jobs

The Data Engineer II will design, build, and maintain data infrastructure including data storage, processing pipelines, and security measures. Responsibilities include optimizing data performance, integrating data from various sources, and collaborating with teams to meet data requirements.

The Senior Java Developer will design and build data pipelines using Python and AWS. Responsibilities include developing software features, performing testing focused on Information Assurance, writing maintainable code, and collaborating with stakeholders to deliver technical solutions. The role involves automating data processing tasks and troubleshooting data pipeline issues within a fast-paced environment.

As a Software Engineer at IXL Learning, you'll build back-end systems, application logic, and user interfaces for educational products. Your role involves design, coding, testing, and debugging. You'll collaborate with various teams to enhance products while gaining exposure to different technologies and development processes.

The Embedded Systems Engineer will collaborate with the engineering team to design and develop products, manage prototypes, improve existing products, and ensure compliance with safety standards. Duties include testing, project coordination, and working closely with stakeholders to support product development.

The Embedded Software Engineer will develop real-time and embedded systems, focusing on UAS prototypes. Responsibilities include writing high-performance code, collaborating through all development phases, creating internal tools, and architecting complex code systems. Candidates should have experience with C++, Python, and various development tools, along with a strong foundation in Linux and version control.

As a Software Engineer (DevOps) at Empirical Systems Aerospace, you will design, build, and maintain systems utilizing DevOps practices, focusing on real-time embedded control, flight management, and automation. Responsibilities include software development, CI/CD pipeline management, infrastructure as code, and cross-functional collaboration to enhance system reliability and efficiency.

The DevOps Site Reliability Engineer is responsible for designing, deploying, and maintaining cloud infrastructure, implementing CI/CD pipelines, monitoring system performance, and managing microservices architectures. Collaboration with development teams and participation in on-call rotations are crucial for maintaining system reliability and performance.

The Principal Scientist, Antibody Engineering will lead projects focused on peptide or antibody production, optimize hit identification for therapeutic development, utilize automated systems for therapeutic assays, and integrate AI-guided protein design. Mentorship of junior scientists and staying updated on scientific advancements are also key responsibilities.

The Senior Cloud Site Reliability Engineer will manage and optimize AWS accounts for Flagship Pioneering and its biotech portfolio, focusing on cloud operations, automation, and collaboration with stakeholders. Responsibilities include providing tier 3 support, developing operational innovations, and leveraging various AWS services to enhance productivity and support. They will play a crucial role in implementing cloud solutions that balance stability, security, and innovation.

The Cloud Engineer will design and manage scalable cloud infrastructure to support scientific research and data-intensive applications. Responsibilities include implementing automation, evaluating cloud technologies, ensuring high availability, and mentoring data scientists on cloud best practices.

Lead the technical direction of multi-agent systems for e-commerce automation, manage a software engineering team, architect scalable solutions, develop responsive UIs with React, and adopt best software practices while collaborating with product managers and ML researchers.

The Principal ML Ops Engineer will lead the development and operationalization of ML applications, focusing on building frameworks to support advanced machine learning models, ensure scalability and reliability, and enhance deployment efficiency. This role includes collaboration with ML researchers and mentoring engineers.

The Senior MLOps Engineer will develop frameworks for advanced ML models integration and optimization, design scalable distributed computing solutions, and create automated workflows for data processing and model deployment. Collaboration with cross-functional teams and maintenance of robust infrastructure for ML models is essential.

The FinOps Engineer will optimize AWS costs and governance, focusing on cloud cost management, implementing strategies and tools to enhance infrastructure efficiency. Responsibilities include analyzing resource usage, writing automation scripts, and managing Kubernetes environments for cost efficiency, while ensuring adherence to best practices in cloud governance.

The Software Engineer will design and build APIs, enhance Kubernetes infrastructure, streamline CI/CD pipelines, and improve system observability. They will collaborate with frontend engineers to ensure user needs are met and commit to ongoing training in ethics and security.

The System Test Engineer will create tools for data analysis and reporting, leverage Python for machine learning, build Canvas web apps in Power Apps, and prepare visualizations to communicate insights effectively. They will support data accuracy and reporting improvements while collaborating with teams to drive strategic decisions.

The Staff Controls Engineer will design complex automated systems, utilize LabView and other programming languages, and integrate various components like PLCs, HMIs, and robots. Responsibilities include software development, hardware design, troubleshooting, and leading project teams.