Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Serve as the technical authority for ELD compliance product escalations, analyze device telemetry and fleet patterns, coordinate fixes with R&D via Jira, support audits/inspections, lead post-mortems and runbook/validation creation, build internal tools, and coach support engineers to improve resolution speed and product reliability.
Top Skills:
Device TelemetryEldIotJIRAPythonSaaSSQLTableau
.png)
Food • Software
Sell ChowNows restaurant technology to independent restaurants within a defined territory. Manage full-cycle outside sales: qualify leads, run demos, build pipeline in SFDC, close deals, and develop outbound and referral strategies. Requires travel, territory planning, collaboration with peers and managers, and meeting quota.
Top Skills:
Salesforce (Sfdc)
Food • Software
Outside territory sales role selling ChowNow's restaurant platform. Own revenue generation, qualify leads, manage pipeline, run in-product web demos, develop outbound/referral strategies, collaborate with peers, use Salesforce for reporting, and meet/exceed quota. Requires heavy in-market selling and travel (45%).
Top Skills:
Chownow PlatformSalesforce (Sfdc)
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better 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 all our employees thrive 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 better time to join the Extreme team.
Position: Staff Software Engineer - Big Data (Gen AI)
Experience: 8 to 13 Years
Location: Remote/US
Job Responsibilities:
· 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.
Basic Qualifications:
· 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.
Preferred Qualifications:
· 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.
Salary based on qualifications, experience and region up to USD 170000 plus benefits.
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all 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, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, 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, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Extreme Networks San Jose, California, USA Office
6480 Via Del Oro, San Jose, California, United States, 95119
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
