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As a Senior Software Engineer at Autodesk, you'll develop high-quality, secure code for cloud software, troubleshoot complex issues, collaborate with product teams, and ensure optimal performance and scalability of systems. You'll also maintain documentation and work with TDD principles.

The Principal Data Engineer will guide the technical planning and development of critical sales tools and business workflows, focusing on data analysis for decision-making. Responsibilities include managing ETL data pipelines, leading the design and implementation of data products, mentoring engineers, and improving data engineering practices while collaborating with various stakeholders.

As a Senior Principal Engineer, you will design, implement, and manage contact center telephony solutions, integrating Salesforce with various telephony systems. You will lead projects, set governance standards, mentor junior developers, and ensure compliance with security and regulatory requirements.

The Principal User Experience Designer will create user-centric experiences, define user interactions, prototype designs, ensure brand consistency, and contribute to design systems while collaborating with stakeholders to meet business objectives. With 8+ years of experience, the role emphasizes storytelling, design quality, and strategic thinking.

The Senior Software Engineer, Localization Engineering, will develop and maintain tools and processes for efficient localization of Autodesk products. They will collaborate with development teams, analyze products for international readiness, provide technical support, and ensure a smooth production process for localized products.

The Software Development Engineer will collaborate with cross-functional teams to design and maintain build and release pipelines, improve processes, and ensure high-quality code through reviews and documentation. The role requires experience with web applications, tooling for build management, and cloud infrastructure.

As a Senior DevOps Engineer, you will enhance the Autodesk Data Platform by developing and automating cloud infrastructure to support big data processing. Responsibilities include building scalable data infrastructure, driving observability, developing scripts in Python, and implementing security best practices, while collaborating with various stakeholders to optimize services.