Software Engineer 3 – AI, ML, Cloud

Hewlett Packard Enterprise

Software Engineer 3 developing AI-driven capabilities for HPE's Mist platform in data centers. Building intelligent solutions for autonomous network operations and collaborating with engineering teams.

Posted 7/22/2026full-timeSunnyvale • California, Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $120,500 - $243,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building cloud-native distributed systems and large-scale data pipelines, with a strong focus on scalability, reliability, and performance. Proficient in leveraging AI-assisted development tools to enhance engineering productivity and improve operational efficiency.

Highest-signal resume keywords

Cloud-Native Application DevelopmentDistributed Streaming TechnologiesData Processing TechnologiesAI-Assisted Coding ToolsNetworking Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData Pipeline DevelopmentDistributed SystemsData AnalyticsRouting ProtocolsCloud ServicesKafkaApache StormApache FlinkCassandra

Soft Skills

Excellent Communication Skills

Tools & Technologies

GitHub CopilotElasticsearchArangoDB

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Information Systems

Industry Keywords

Network TelemetryMulti-Tenant Data CenterAI-Powered NetworkingOperational EfficiencyAutonomous Operations

Tech Stack

Tools & technologies

ApacheCassandraCloudDistributed SystemsElasticSearchKafka

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion