Software Developer Cloud & Distributed Systems

Software Developer Cloud & Distributed Systems

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Job Description:

   

We are looking for a passionate and experienced 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 design and 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 Will be responsible for the verification and quality assurance of all features on Routing/Switching platforms with regard to multi-dimensional scaled solutions based on Enterprise Campus and branch as well as Data Center Customer Use Case, for HPE’s large customer base.

Responsibilities:

• Design, 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, 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 6+ years of software engineering experience with strong proficiency in Python, Go, or Java.

• 2+ 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.

• 2+ years building or operating distributed systems using cloud‑native technologies or Kubernetes.

• 2+ years working with big‑data frameworks such as Apache Spark or Databricks.

• Familiarity with DevOps practices, CI/CD, automation, and service ownership.

• Experience with ETL pipelines, ML training and inference, or data tooling such as Pandas/DuckDB.

• Good understanding of Linux and systems fundamental.

• Strong analytical and problem‑solving skills.

• Excellent communication and cross‑functional collaboration skills

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.

Job:

Engineering

Job Level:

TCP_03

    

    

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.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

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.