Software Developer Cloud & Distributed Systems

Reposted 25 Days Ago
Be an Early Applicant
Hiring Remotely in Taipei, TWN
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Design, build, and maintain scalable, fault-tolerant cloud-native distributed services and microservices. Develop backend components in Python/Go/Java, implement event-driven streaming and batch pipelines, write tests, and support ML-driven workflows, CI/CD, and service ownership.
Summary Generated by Built In
Software Developer Cloud & Distributed Systems

  

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

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, faulttolerant distributed services running in the cloud.
  • Develop microservices and backend components using Python and Go, with additional development in Java for eventdriven stream processing systems.
  • Build and evolve realtime and batch data processing pipelines for AIDE (AI Driven Engineering), including event streams, ingestion pipelines, and MLdriven workflows.
  • Write highquality 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 eventdriven 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 cloudnative technologies or Kubernetes.
  • 1+ years working with bigdata frameworks such as Apache Spark or Databricks.
  • Familiarity with DevOps practices, CI/CD, automation, and service ownership.
  • Familiarity with AI tools.
  • Good understanding of Linux and systems fundamental.
  • Strong analytical and problemsolving skills.
  • Excellent communication and crossfunctional collaboration skills

#LI-Hybrid

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.

#taiwan#networking

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. Please click here: Equal Employment Opportunity.

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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Computer Engineering or related field
  • 6+ years of software engineering experience with strong proficiency in Python, Go, or Java
  • 2+ years building event-driven stream processing systems using Kafka, Storm, Flink, or similar
  • Strong understanding of RESTful API design and implementation
  • Experience 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 fundamentals
  • Strong analytical and problem-solving skills; excellent communication and cross-functional collaboration

Hewlett Packard Enterprise Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.

  • Parental & Family Support Parental leave provides six months of fully paid time for all parents and includes options to return part-time for up to 36 months. Additional supports like backup childcare, fertility and adoption assistance reinforce a family-friendly package.
  • Wellbeing & Lifestyle Benefits Wellness Fridays offer paid early-finish time each month alongside resources such as on-site gyms, mental health tools, and paid volunteer time. These programs emphasize balance and personal well-being.
  • Retirement Support Retirement programs include a 401(k) with a 100% match on the first 4% of base salary and an Employee Stock Purchase Program. Retirement Transition Support enables part-time work for employees nearing retirement.

Hewlett Packard Enterprise Insights

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The Company
HQ: Houston, TX
85,422 Employees
Year Founded: 2015

What We Do

In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.

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