Software Developer Cloud & Distributed Systems

Hewlett Packard Enterprise Development LP; San Juan (PR); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise Development LP is seeking a Software Developer for Cloud & Distributed Systems. The role is hybrid, with an average 2 days per week in an HPE office, focused on building scalable cloud‑based network configuration platforms and AI‑driven workflows.

You will work on distributed systems using Python, Go, and Java, designing microservices and data pipelines, and advancing cloud services end‑to‑end with a strong emphasis on testing and reliability.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field.
• 2+ years of software engineering experience with proficiency in Python, Go, or Java.
• 1+ years building event‑driven stream processing systems (Kafka, Storm, Flink) or equivalent.

Responsibilities

• Build and maintain scalable, fault‑tolerant distributed services in the cloud.
• Develop microservices and backend components using Python and Go; Java for event processing.
• Create real‑time and batch data pipelines for AI‑driven engineering workflows.
• Write unit, integration, and functional tests to enable safe refactoring.

Skills

RESTful API design

Distributed datastores

Kubernetes

Kafka

Storm

Flink

Spark

CI/CD

Python/Go/Java

Linux

Education

Bachelor's or Master's in Computer Science/Computer Engineering or related field

Tools

Kafka

Storm

Flink

Kubernetes

Spark

Databricks

Pandas

DuckDB

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.

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.

HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.