Top Python Jobs

As a Network Engineer on the Network Operations Team at X, you will work on troubleshooting network devices, automate processes using Python and Ansible, and improve operational procedures. You will also participate in a 12x7 call-out rotation and work on project assignments from upstream networking teams.

As a Software Engineer in Data Engineering, you will work on building and maintaining efficient data pipelines, collaborate with team members to design and implement new projects, and ensure data products are accurate and reliable. You'll adapt to various infrastructures and solve large-scale problems while supporting internal teams with data tools and libraries.

Join the X team as a Software Engineer - Backend to build a real-time information-sharing app. Responsibilities include delivering new features, optimizing system performance, and addressing system bottlenecks. Ideal candidates will have experience with distributed systems and be proficient in Scala, Java, or Python.

The Process Systems Engineer will develop and apply model-based solutions to optimize pharmaceutical manufacturing processes. Responsibilities include designing and analyzing processes, collaborating with multidisciplinary teams, and ensuring compliance with regulations while mentoring junior scientists.

Develop and implement generative AI models for therapeutic protein design, collaborate with wet-lab experimentalists to validate models and designs, and propose novel ML architectures based on mathematical expertise in various advanced topics.

The role of Director of Software Engineering involves leading a team to develop software platforms that support large molecule drug discovery, integrating biological data and utilizing pioneering technologies in AWS. Responsibilities include architectural decisions, team management, and collaboration with scientists to optimize drug discovery processes using AI/ML.

The Sr. Principal Platform Engineer will lead the architecture, configuration, coding, debugging, and design of transformative products in drug discovery and research. They'll mentor junior engineers, participate in technical reviews, and align technical solutions with business goals within the Software Product Engineering team, focusing on cutting-edge AI products.

The Associate Director, Consumer Engineering will design, develop, and deploy data products while supporting analytics, reporting, and data governance. Responsibilities include creating scalable data pipelines, collaborating with multi-functional teams, and ensuring data quality and innovation in data solutions.

As a Senior Technical Architect for Manufacturing Execution Systems at Lilly, you will design and implement robust IT architecture solutions for the pharmaceutical manufacturing sector, focusing on MES and digital execution. Your role involves driving the transition to paperless execution, ensuring system integration, and collaborating with various teams to enhance operational workflows.

As a Solution Architect at Lilly, you will drive strategy for large-scale business solutions, partner with business and technology teams, and ensure solutions align with architectural standards. Responsibilities include system design, requirement capture, guiding architecture lifecycle, and supporting product managers with software evaluations.

As a Solution Architect at Lilly, you will design and implement secure, scalable IT solutions for Global Services, collaborating with various teams to drive strategic decisions across applications and overseeing key outcomes while adhering to architecture standards.

As a Machine Learning Engineer at Lilly, you will develop and deploy machine learning models to enhance predictive analytics in various processes. Responsibilities include model development, optimizing and evaluating models, and collaborating with cross-functional teams. You will utilize advanced ML methodologies and tools to improve decision-making and product efficiency, adhering to ethical AI practices.

The BizOps Engineer II will focus on application monitoring, support, and deployment within Mastercard. Responsibilities include implementing monitoring tools, troubleshooting platform issues, and executing application release procedures. The role advocates for automation and best practices within the development and operations teams.

This role involves enhancing service lifecycle, evaluating ITSM activities, and supporting services pre and post-launch. Responsibilities include measuring system health, promoting CI/CD automation, participating in incident response, and mentoring junior staff. A collaborative approach with development and operations teams is essential to optimize processes and customer experience.

The Lead Software Engineer will lead a team to design and implement cryptographic security solutions, provide technical guidance, research alternatives, assist with security architecture, and manage vendor relationships. Responsibilities include defining secure mechanisms for applications, automating deployment processes, and leading improvements in security engineering practices.

The Senior Software Engineer in Site Reliability Engineering at Mastercard will enhance digital payment products by bridging software engineering and operations. Responsibilities include system design, performance engineering, incident review, capacity planning, and automation of services. The role requires maintaining service metrics and collaborating with cross-functional teams.

As a Senior Software Engineer at Mastercard, you will design, code, and maintain large data processing systems primarily using Scala and Apache Spark. You'll optimize data processing pipelines, ensure high coding standards, manage project timelines, and collaborate within an agile team to enhance system architecture and efficiency.