Software Developer Cloud & Distributed Systems

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 110,000 - 165,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Software Developer to join the Cloud Engineering team and help build Mist's cloud-based network configuration and reporting platform. You will implement scalable distributed systems, own cloud services end-to-end, and contribute to AI-driven enterprise networking at scale.

This hybrid role requires on average 2 days per week in an HPE office, with emphasis on REST APIs, microservices, and data pipelines using Python, Go, Java, Kafka, Kubernetes, and Spark.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field.
• 2+ years of software engineering experience with Python, Go, or Java.
• 1+ years building event-driven streaming systems using Kafka, Storm, Flink, or similar technologies.

Responsibilities

• Build and maintain scalable, fault-tolerant distributed services running in the cloud.
• Develop microservices and backend components using Python and Go, with Java for event-driven processing.
• Build and evolve real-time and batch data processing pipelines for AI-driven workflows.
• Write high-quality unit, integration, and functional tests for safe refactoring and CD.

Skills

Python

Go

Java

REST APIs

Linux

Education

Bachelor's or Master's in CS/Engineering

Tools

Kafka

Storm

Flink

Redis

Cassandra

Postgres

Kubernetes

Spark

Databricks

Job description

Software Developer Cloud & Distributed Systems

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

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.

Job Description:

We are looking for a passionate Software Developer to join our Cloud Engineering team and help build the next generation of Mist's cloud - based network configuration and reporting platform. In this role, you will implement highly scalable distributed systems, own key cloud services end - to - end, and contribute to the platform that powers AI - driven enterprise networking at massive scale.

Responsibilities:

• Build, and maintain scalable, fault - tolerant distributed services running in the cloud.
• Develop microservices and backend components using Python and Go, with additional development in Java for event - driven stream processing systems.
• Build and evolve real - time and batch data processing pipelines for AIDE (AI Driven Engineering), including event streams, ingestion pipelines, and ML - driven workflows.
• Write high - quality unit, integration, and functional tests that enable safe refactoring and continuous delivery.

Education and Experience Required:

• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field.
• Typically 2+ years of software engineering experience with strong proficiency in Python, Go, or Java.
• 1+ years of experience building event - driven stream processing systems using Kafka, Storm, Flink, or similar technologies.

Knowledge and Skills:

• Strong understanding of RESTful API design and implementation.
• Experience working with distributed datastores such as Redis, Cassandra, or Postgres.
• 1+ years building or operating distributed systems using cloud - native technologies or Kubernetes.
• 1+ years working with big - data frameworks such as Apache Spark or Databricks.
• Familiarity with DevOps practices, CI/CD, automation, and service ownership.
• Familiarity with ETL pipelines, ML training and inference, or data tooling such as Pandas/DuckDB.
• Familiarity with AI tools.
• Good understanding of Linux and systems fundamental.
• Strong analytical and problem - solving skills.
• Excellent communication and cross - functional collaboration skills

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico

Job:

Engineering

Job Level:

TCP_02

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.