Top Python Jobs

The Snowflake Administrator will manage Snowflake databases, support data loading, monitor performance, and automate tasks using SQL, Python, or Shell scripting. Responsibilities include configuring and administering Snowflake, ensuring data security, and resolving performance issues while collaborating with various teams in the Merchant Solutions group.

The Sr. DevOps Engineer will manage and scale cloud infrastructure using AWS services, implement CI/CD processes, ensure security and monitoring, collaborate with teams, and lead projects in a Software as a Service (SaaS) environment focused on healthcare transformation.

As a Senior Software Engineer, you will design, develop, and maintain Rubrik’s data management platform focusing on hypervisors. You will troubleshoot issues, collaborate with product and support teams, and ensure high-quality product features for protecting customer data in the cloud and on-prem environments.

The Lead BizOps Engineer oversees production environments for data platforms at Mastercard, ensuring stability and operational excellence. Responsibilities include managing Site Reliability Engineers, defining application performance strategies, optimizing workflows, and engaging in proactive risk management to enhance service reliability.

The Lead Software Engineer at Mastercard will guide a team in developing high-performance data processing applications primarily using Clojure on the JVM platform. Responsibilities include mentoring developers, designing backend REST APIs, and working within an Agile Scrum team. The role requires strong communication skills and expertise in functional programming and cloud-based environments.

The Lead BizOps Engineer at Mastercard focuses on ensuring platform stability through proactive management of production and change activities, facilitating collaboration across teams, and optimizing operational standards. Responsibilities include supporting developers, managing incident response, overseeing compliance and risk mitigation, and designing effective CI/CD processes.

The Senior BizOps Engineer will enhance service lifecycle management through proactive monitoring, system design consulting, and support for CI/CD pipelines. They will focus on automating processes and improving service reliability and performance by collaborating across teams, solving problems, and mentoring junior engineers.

The MLOps Engineering Manager will oversee the development of machine learning monitoring infrastructure, ensuring the proper deployment and refresh of models. Responsibilities include designing monitoring strategies, building scalable tools for ML training and inference, and collaborating with cross-functional teams to improve ML systems.

As a GIS subject matter expert, you will leverage your experience to create innovative solutions for the Defense community, demonstrating the value of Esri technology. You will build relationships, craft proposed solutions, and present technical demonstrations while supporting your team in planning and executing sales strategies.

As a Solution Engineer for Defense, you will leverage your GIS expertise to support customers in the defense industry by analyzing their needs and proposing tailored GIS solutions. You'll build relationships, present technical demonstrations, and communicate effectively with both technical and non-technical stakeholders to highlight the value of Esri technology.

As a Lead Cloud Platform Engineer, you will manage cloud infrastructure, automate deployment and administration, and ensure security of cloud components. You will lead a team, implement CI/CD deployment plans, monitor cloud performance, and collaborate with other technical teams to drive cloud application development.

The Senior Principal Engineer will lead the development of a modern marketing technology stack to enhance personalized customer experiences. Responsibilities include integrating data from various platforms, designing data pipelines, implementing scalable solutions using AWS and Snowflake, and collaborating with teams on innovative marketing technologies.

As a Senior Machine Learning Engineer, you will develop data pipelines, write code for model training, monitor performance, and work with large-scale datasets. Collaborate with teams to enhance AI tools for the AEC industry while translating theoretical concepts into practical solutions and prototypes.

The Implementation Consultant will work with Autodesk's enterprise customers to provide consulting services, including process and workflow development, software training, and technical guidance. The role involves leading consulting engagements and configuring solutions based on customer needs while ensuring optimal use of Autodesk technologies.

The Principal Backend Developer will build and deliver a high-performance architecture and service in AWS for user-defined code/automation. Responsibilities include maintaining scalable production systems, contributing to security architecture, developing APIs, improving observability dashboards, and ensuring compliance with security and regulatory requirements.

The Principal Machine Learning Engineer at Autodesk will develop and deploy machine learning models for personalized customer experiences on an eCommerce platform. Responsibilities include managing model performance, optimizing computational costs, implementing CI/CD pipelines, and collaborating with global teams.

As a Software Architect for Product Usage Data/Insights, you will define the architectural vision, lead large-scale initiatives, and mentor engineering teams at Autodesk. This strategic role involves collaborating with senior leadership to align technical direction with business strategies and fostering innovation in cloud-based solutions.