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Senior Engineering Manager -Big Data, Generative AI -10011 Job Opening In Chennai – Now Hiring Extreme Networks


Job description

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

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Engineering Potential: Insight & Career Growth Guide


Real-time Senior Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Engineering in Chennai, India, highlighting market share and opportunities for professionals in Senior Engineering roles.

434102 Jobs in India
434102
10416 Jobs in Chennai
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What Is the Average Salary Range for Senior Engineering Manager Big Data, Generative AI 10011 Positions?

The average salary range for a 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.

What Are the Key Qualifications for Senior Engineering Manager Big Data, Generative AI 10011?

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. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Engineering Manager Big Data, Generative AI 10011 Job Success

Extreme Networks interview tips for Senior Engineering Manager  Big Data, Generative AI  10011

Here are some tips to help you prepare for and ace your Senior Engineering Manager Big Data, Generative AI 10011 job interview:

Before the Interview:

Research: Learn about the Extreme Networks's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Extreme Networks's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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