Be a part of a team that’s ensuring Dell Technologies' product integrity and customer satisfaction. Our IT Software Engineering team turns business requirements into technology solutions by designing, coding and testing/debugging applications, as well as documenting procedures for use and constantly seeking quality improvements.
Join us as a Principal Software Engineer on our Software Engineering team in Austin / Round Rock, TX (Open to US Remote) to do the best work of your career and make a profound social impact.
As a Principal Software Engineer, you will be part of our AI ML Platform Engineering team that is spearheading Dell’s Digital Transformation by driving innovation in the way we deliver advanced AI and ML technologies that can help our business units deliver improvements across our entire customer experience and optimize our business outcomes. We design and develop software with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.
This position will merge software engineering, modern dev ops, data engineering and deployment at scale to help teams deploy algorithmic models that can optimize business and customer experiences at scale. The candidate will use technical knowledge and software development to build technology centric solutions that accelerate the development of AI and ML capabilities across the company.
You will:
Design and develop software internal and external customer products.
Utilize a range of applicable technologies (e.g., programming languages, compilers, assemblers, debuggers, other tools) for products used in local, networked, storage enhancements and/or new systems.
Participate in product development in all stages from planning and design to development, testing, deployment and documentation.
Generate technical documentation as well as unit and functional tests.
Collaborate in training, work assignment and mentoring of developers and provide training and mentor other engineers when required.
Engineering Degree in Computer Science/Engineering, or equivalent professional experience.
6 to 8 years of related experience in a professional role with a Bachelor’s degree; or 4 to 6 years with a Master’s degree.
Demonstrated experience writing, documenting and maintaining high quality code with object-oriented programming languages such as C# or Java.
Experience with cloud-native computing, cloud platforms, microservices architecture, modern DevOps, Test Development and Continuous Integration / Continuous Deployment.
Experience with Kubernetes, Docker, Functions, elastic compute, enterprise-scale platforms, parallelized workloads, real-time data streams, open source frameworks, Python, Gitlab, and Apache.
Desirable Requirements
Experience running and optimizing Data Science and Machine Learning workloads.
Knowledge of Data Science tools, frameworks and techniques.
Job ID: 50087
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