Software Engineer 3 - AI / ML / Cloud

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., * Design, build, and operate large-scale data pipelines that ingest and process network telemetry at cloud scale.

• Develop routing intelligence capabilities to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data center environments.
• Build scalable, highly available services on the Mist platform, contributing across the stack from data ingestion through analytics.
• Design and develop software for cloud-native distributed systems with a focus on scalability, reliability, and performance.
• Collaborate with engineering teams to build AI-powered networking solutions that improve operational efficiency and customer experience.
• Leverage modern AI-assisted development tools, including GitHub Copilot, to improve engineering productivity., All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.
• Minimum of 5 years of professional software engineering experience.
• Hands-on experience building cloud-native applications and processing large-scale data.
• Experience with distributed streaming and data processing technologies such as Kafka, Apache Storm, or Apache Flink.
• Experience with distributed databases such as Cassandra, ArangoDB, Elasticsearch, or similar technologies.
• Recent experience using AI-assisted coding tools (e.g., GitHub Copilot) in day-to-day software development.
• Strong software development skills and excellent written and verbal communication abilities.
• Working knowledge of networking fundamentals and routing protocols.
• Experience building highly scalable distributed systems or cloud services.
• Interest in AI-driven networking, data analytics, and autonomous operations.

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Annual Salary USD 120,500 - 243,000 in California The listed salary range reflects base salary. Variable incentives may also be offered."

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE., HPE Networking is seeking a Software Engineer 3 to join our Routing Intelligence team, building next-generation AI-driven capabilities for the Mist platform in the data center. This is a high-impact opportunity to help develop intelligent networking solutions that detect, troubleshoot, predict, and mitigate issues across large-scale, multi-tenant cloud environments. You'll work at the intersection of big data, cloud-scale distributed systems, networking, and AI, helping shape the future of autonomous network operations., Join one of HPE Networking's most strategic engineering initiatives, where you'll help build intelligent networking software powering next-generation AI-driven data centers. You'll work with cutting-edge cloud technologies, large-scale data platforms, and modern AI development tools while collaborating with a world-class engineering team solving complex networking challenges at scale.