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AI-Staff/Principal Software Systems Engineer-Gen AI, Machine Learning, Graph ML, Big Data - 10030

Extreme Networks

hybrid,BangaloreSoftware DevelopmentFull-time
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 85% confidence

Extreme Networks seeks a principal-level software engineer with 8–18 years of experience to lead AI/ML platform development. The role focuses on generative AI systems, graph ML, and large distributed systems on hybrid/cloud infrastructure in Bangalore.

Remote scope
Hybrid with Bangalore location

What you need

  • 8+ years of experience in full software development lifecycle (design, coding, testing, deployment, operations)
  • 6+ years of Python with in-depth knowledge of advanced features and libraries
  • Expertise in RESTful API design with FastAPI
  • Proficient in Docker, Kubernetes, and modern CI/CD practices
  • 4+ years leading design and architecture of large distributed systems on cloud platforms
  • Experience mentoring, tech leading, or leading engineering teams

What you will own

  • Design and architect large distributed systems on cloud platforms (AWS/Azure/GCP)
  • Develop Python-based software with advanced ML libraries for Generative AI platforms
  • Build and deploy AI Agents, RAG, Knowledge Bases, and LLM fine-tuning pipelines
  • Lead code reviews, testing, CI/CD processes, and production deployments
  • Mentor engineers and lead technical teams
  • Optimize system performance and workflows for big data workloads
Core skills
PythonFastAPIDockerKubernetesCI/CDMachine LearningGraph MLGenerative AICloud Platforms (AWS/Azure/GCP)NoSQL/Document Databases
Internal freshness window ends Oct 21, 2026
View source evidence
  • location “Location: Bangalore/Remote”
  • seniority “Experience: 8 to 18 Years”
  • employment_type “Position type: Full-time”
  • responsibilities “lead the design and architecture of large distributed systems preferably on cloud platforms”
  • must_have “6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries”
  • must_have “Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI”
  • must_have “Proficient in Docker, Kubernetes, and modern CI/CD practices”
  • must_have “Experience as a mentor, tech lead or leading an engineering team”
  • nice_to_have “BE/MS or PhD in Computer Science or equivalent experience in ML”
  • nice_to_have “Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.)”
  • nice_to_have “Experience with NoSQL and document databases”
  • responsibilities “AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning”
pythonfastapidockerkubernetes
Role brief
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: AI-Staff/Principal Software Systems Engineer-Gen AI, Machine Learning, Graph ML, Big Data Experience: 8 to 18  Years Position type: Full-time   Location: Bangalore/Remote   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.   
  • Degree in mathematics/computer science or related discipline.
  • 8+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
  • BE/MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • 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!

Additional

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.