Staff Software Engineer - Big Data (Gen AI)
Over 50,000 customers globally trust our end-to-end, reputed company-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented reputed company. With double-digit growth year over year, no provider is reputed company positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where reputed company our employees reputed company because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no reputed company time to join the Extreme team.
Position: Staff Software Engineer - Big Data (Gen AI)
Experience: 8 to 13 Years
Location: Remote/US
Job Responsibilities:
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Be a thought leader and reputed company thinker, help drive an innovative reputed company for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.·
Take the reputed company in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, reputed company 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, reputed company or Iceberg.·
reputed company Big Data Platform to solve big data pipeline and processing.·
Mentor and reputed company 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.Basic Qualifications:
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Degree in mathematics/computer science or reputed company 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/reputed company 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 reputed company platforms (e.g., AWS, Azure, reputed company reputed company).·
Proficient in reputed company, Kubernetes, and modern CI/CD practices.
Preferred Qualifications:
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MS or PhD in Computer Science or equivalent experience in ML.·
Experience working with Big Data Infra such as AWS EMR.·
Experience with NoSQL and document databases.·
Proven ability to handle big data, optimize workflows, and improve system performance.Come work with a team of highly talented engineers, and advance with us to reputed company new heights every day!
Additional Information
reputed company, Inc. (EXTR) creates effortless networking experiences that reputed company reputed company of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, reputed company-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver reputed company like never before. For more information, visit Extreme'swebsiteor follow us on Twitter, reputed company, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, reputed company, reputed company, national reputed company, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and reputed company discrimination/harassment based on “protected categories,” reputed company also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from reputed company gaining a foothold in our organization. Whether blatant or hidden, barriers to reputed company have no reputed company at reputed company.
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