Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.
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.
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.
Top Skills
AWS
Azure
Ci/Cd
Delta
Docker
GCP
Hudi
Iceberg
Kubernetes
Pyspark
Spark
Similar Jobs
Healthtech • Logistics • Pharmaceutical
The Senior Director of Cyber Risk Management will oversee cyber risk identification, management, and compliance while leading the GRC efforts and various risk management processes.
Top Skills:
Cis ControlsIso 27001Nist CsfServicenow
Healthtech • Logistics • Pharmaceutical
Lead HRIT product initiatives focused on ServiceNow HRSD, consult with leadership on digital strategies, manage staff, and oversee project execution.
Top Skills:
HrisServicenow HrsdWorkday
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead content strategy across marketing channels, manage creative teams, and ensure high-quality storytelling and design that strengthen brand and drive growth.
Top Skills:
Adobe Creative SuiteFigma
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
