Urgent! Senior Engineering Manager -Big Data, Generative AI -10011 Job Opening In Chennai – Now Hiring Extreme Networks
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.Senior Engineering Manager (Big Data, Gen AI): Are you energized by the idea of innovating with Generative AI?
Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence?
Do you dream of building ground-breaking products that define the future of AI-driven network management?
Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing.
You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme.
With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide.
Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning.
These innovations power flagship Extreme products while enabling entirely new offerings.
Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected.
Advance with us and help shape the future of network intelligence.Job Responsibilities·Provide technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions·Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations·Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern ML infrastructure·Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration·Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systemsBasic Qualifications·Degree in Computer Science, Mathematics, or a related discipline·8+ years of experience across the full SDLC including design, coding, reviews, testing, deployment, and operations·4+ years of experience managing engineering teams with a proven track record of delivery·4+ years of experience building distributed Big Data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue·4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP·Proven ability to optimize Big Data workflows and improve system performance at scale·Proficiency with Docker, Kubernetes, and modern CI/CD practices·Experience serving as a mentor, tech lead, or people manager in engineering organizationsPreferred Qualifications·MS or PhD in Computer Science or a related field·Experience with Graph ML and Graph technologies such as GNNs·Experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning
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Unlock Your Senior Engineering Potential: Insight & Career Growth Guide
Real-time Senior Engineering Jobs Trends in Chennai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Engineering in Chennai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 386412 jobs in India and 7981 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in Senior Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Extreme Networks is currently hiring and seeking a Senior Engineering Manager Big Data, Generative AI 10011 to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Extreme Networks adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Engineering Manager Big Data, Generative AI 10011 Jobs India varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Engineering Manager Big Data, Generative AI 10011 typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Engineering Manager Big Data, Generative AI 10011 interview at Extreme Networks, research the company, understand the job requirements, and practice common interview questions.
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