Software Engineer - AI​/ML​/Cloud

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 Git Hub Copilot, to improve engineering productivity.

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., Git Hub 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.

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.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

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, in California The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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