> Markdown version of [/jobs/ext/2454678-staff-software-engineer-10376-10377-10386](https://www.wearedevelopers.com/jobs/ext/2454678-staff-software-engineer-10376-10377-10386). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer (10376, 10377, 10386) - **Company:** Extreme Networks - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Computer Engineering, Distributed Data Store, Distributed Systems, MapReduce, Python (Programming Language), Machine Learning, Network Administration, Software Deployment, Google Cloud, Multi-Agent Systems, Apache Spark, Generative AI, Pyspark, Information Technology, Apache Flink, Apache Kafka, Stream Processing, Golang, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c8fadd3fe7fe5f5e ## About the Role * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience. * 8+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations. * 8+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++. * 5+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud. * Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics. * Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability. * Experience mentoring engineers, serving as a technical lead, or leading an engineering team. * Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions., + Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience. + Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data. + Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment. + Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems. + Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies. + Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes. Come work with a team of highly talented engineers and advance with us as we build the next generation of intelligent networking systems. * Salary based on qualifications, experience and region up to USD 170 k to 200K plus benefits. ## Related Videos - [Serverless: Past, Present and Future](https://www.wearedevelopers.com/videos/34-serverless-past-present-and-future) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Your next 10x engineer isn't in your city. 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