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As a Principal Content Designer, you will craft and ship API documentation, establish best practices, and partner with product and engineering teams to enhance developer experiences. You will also create cohesive information architectures and documentation plans while maintaining high-quality content standards.

The Engineering Manager will lead a team of software engineers in designing high-value, cloud-based applications. Responsibilities include managing resources, improving team processes, mentoring engineers, and collaborating with stakeholders to align project goals and deliver quality software solutions.

The Account Based Marketing Manager DACH at Autodesk leads the planning and execution of targeted account-focused marketing programs in the DACH region. This role involves collaboration with sales teams, strategic input for account engagement, development of marketing plans, and measurement of program effectiveness using data-driven analysis.

The Senior DevOps Engineer will build and extend cloud infrastructure automations, configure public cloud environments, refactor and migrate applications, troubleshoot issues in AWS, and design automation solutions to enhance team efficiency.

As a Principal Software Engineer (Tech Lead) at Autodesk, you'll drive the team's technical direction, oversee the development of backend services, mentor engineers, and lead innovative projects in a fast-paced environment. You'll use state-of-the-art technologies to create and scale enterprise-level solutions while collaborating with team members and stakeholders.

As a Senior Software QA for Automation, you will conduct manual and automated testing, define QA strategies, and collaborate with product teams to ensure high-quality software delivery. Responsibilities include E2E automation testing, debugging, and maintaining automation stability while adhering to Scrum methodologies.

As a Software Engineer at Autodesk, you will collaborate with researchers and engineers to develop ML-powered features. Responsibilities include building scalable data pipelines, processing large datasets, conducting experiments, developing data visualizations, ensuring data compliance, and writing robust code.