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Staff Software Engineer – Big Data, Gen AI
Location
United States
Posted
68 days ago
Salary
$170K / year
Seniority
Lead
Job Description
Staff Software Engineer – Big Data, Gen AI
Extreme Networks
• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation. • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. • Craft high-performance, Big Data Lakehouse architectures such as Hudi, Delta or Iceberg. • Develop Big Data Platform to solve big data pipeline and processing. • Mentor and develop other engineers on the team, establish technical direction and foster team culture. • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Job Requirements
- Degree in mathematics/computer science or related discipline.
- 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
- 4+ years of experience in Spark/PySpark with an in-depth knowledge of its advanced features and libraries.
- 3+ years of experience in Data Lakehouse solution such as Hudi/Iceberg/Delta with an in-depth knowledge of its advanced features and libraries.
- 2+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
- Proficient in Docker, Kubernetes, and modern CI/CD practices.
- MS or PhD in Computer Science or equivalent experience in ML preferred.
- Experience working with Big Data Infra such as AWS EMR preferred.
- Experience with NoSQL and document databases preferred.
- Proven ability to handle big data, optimize workflows, and improve system performance preferred.
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