Principal Software Engineer – (Gen AI, Big Data) (10026) Seattle. WA | San Jose, CA | Salem, NH | Raleigh, NC at Extreme Networks

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, TechnologyIndustries

Requirements

Degree in Computer Science, Mathematics, or a related field
10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations
5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi
Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
Experience working with Graph ML and Graph technologies such as GNNs
Strong track record of end-to-end solution ownership, from design through production scaling
5+ years of experience deploying large-scale solutions on cloud platforms such as AWS, Azure, or GCP
Proven ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact

Responsibilities

Provide technical leadership and vision for large-scale distributed systems, ML platforms, and next-generation data infrastructure
Lead the design, architecture, and delivery of end-to-end solutions across the full SDLC, spanning development, testing, deployment, and operations
Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready solutions
Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway
Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence
Champion best practices for building resilient, secure, and high-performance systems, optimized for scale and reliability

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningBig DataCloud ComputingDistributed SystemsAI AgentsRAGLLM fine-tuningData MiningAnomaly DetectionSDLC

Questions & Answers

Common questions about this position

What are the key experience requirements for this Principal Software Engineer role?

Candidates need a degree in Computer Science, Mathematics, or a related field, 10+ years of experience across the full software development lifecycle, and 5+ years with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi. Hands-on experience building Generative AI solutions like RAG, AI Agents, and LLM fine-tuning in production is also required.

Is this position remote or does it require working from specific locations?

The job lists specific office locations: Seattle, WA; San Jose, CA; Salem, NH; and Raleigh, NC, but does not specify if remote work is an option.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Extreme Networks?

Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences. Innovation is expected, and the company fosters engineering rigor, collaboration, and operational excellence.

What makes a strong candidate for this Principal Software Engineer position?

A strong candidate will have technical leadership experience in large-scale distributed systems, ML platforms, Big Data, and Generative AI, along with the ability to architect scalable solutions, drive innovation from concept to delivery, and mentor engineering teams.

Extreme Networks

Provides advanced networking solutions and services

About Extreme Networks

Extreme Networks specializes in advanced networking solutions that optimize and secure network operations for a variety of clients, including educational institutions, retail businesses, government agencies, and healthcare facilities. Their products include network infrastructure such as switching and routing solutions, wireless connectivity, and data center fabrics, along with cloud-based services and advanced security measures. Extreme Networks differentiates itself by offering both hardware and software solutions, as well as professional and managed services that ensure efficient network operations. Their goal is to provide comprehensive support and training to help clients maximize their networking capabilities.

Morrisville, North CarolinaHeadquarters

1996Year Founded

$16.8MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, Cybersecurity, EducationIndustries

1,001-5,000Employees

Benefits

Competitive pay

Comprehensive healthcare

HSA

Life & disability insurance

Retirement plans

Employee stock purchase program

Tuition reimbursement

PTO

Wellness programs

Risks

Securities fraud lawsuit may damage Extreme Networks' reputation and investor confidence.

Complexity of AI integration could hinder adoption of Extreme Platform ONE.

Stiff competition in cybersecurity market may affect ZTNA solution's market share.

Differentiation

Extreme Networks offers AI-powered platformization with Extreme Platform ONE.

The company provides comprehensive networking solutions, including cloud and security integration.

Extreme Networks serves diverse industries, from education to healthcare and government.

Upsides

Growing demand for AI-driven network management boosts Extreme Networks' market potential.

Expansion of 5G networks increases need for advanced networking solutions.

Rising adoption of cloud-based solutions enhances Extreme Networks' scalability and flexibility.

Land your dream remote job 3x faster with AI

Try Jobo Free