Software Engineer 3 - AI / ML / Cloud

About the role

This role is a Software Engineer 3 position within HPE Networking, focusing on the development of AI-driven capabilities for the Mist platform in the data center. It is a hybrid role with an average of 2 days per week working from an HPE office.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 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.

Skills

• 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.

Benefits

The listed salary range reflects base salary. Variable incentives may also be offered. For more information about employee benefits offered in the US, visit this link.

Pay

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

Schedule

This role is a hybrid role with an average of 2 days per week working from an HPE office.