Backend Software Engineer (.NET/C#)

at  Intel

JOB DESCRIPTION

The position is for an experienced back-end .NET/C# software engineer, skilled in data engineering. You will contribute to developing internal software platforms used daily by graphics software and hardware engineers.
Our team is committed to developing an internal platform that simplifies the daily tasks of graphics engineers. We provide services that facilitate data-driven decision-making, assist in monitoring the quality of Intel’s graphics software and hardware products, and make the implementation and debugging processes more efficient.
You’ll be taking part in all phases of platform development, including requirements analysis, design, and development. You’ll have a chance to work directly with graphics domain experts on the newest Intel Graphics products. We’re strong proponents of Agile values and DevOps culture and always strive for improvement.

QUALIFICATIONS

Minimum Qualifications:

• Master’s Degree in Software or Computer Engineering or a similar technical area
• Excellent knowledge of .NET/C# and SQL
• Practical knowledge of building scalable, distributed systems
• Practical knowledge of Windows and Linux operating systems
• Practical knowledge of CI/CD pipelines
• Analytical problem-solving and troubleshooting skills

PREFERRED QUALIFICATIONS:

• Experience in building data pipelines
• Experience in building data ingestion, integration and ETL solutions
• Experience in building warehousing, Business Intelligence and Analytics systems

• Collaborate with graphics domain experts across various global locations to develop comprehensive requirements
• Design and implement innovative services within a distributed ecosystem, focusing on data processing and reporting; play a pivotal role in every phase of the development process, from design to implementation and testing, making a significant impact
• Take full ownership of the system, including the maintenance, monitoring, and troubleshooting of existing services
• Influence team dynamics and methodologies, including the development process, CI/CD pipelines, monitoring strategies, and work organization, to enhance efficiency and productivity