Hybrid Cloud & Distributed Systems Engineer

Hewlett Packard Enterprise Company in; San Juan (PR); Hybrid; USD 95,000 - 130,000; Full time

Job summary

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

The role requires strong Python/Go/Java skills, experience with event-driven streaming (Kafka, Storm, Flink), and a solid background in Linux, RESTful APIs, and

Qualifications

• 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.

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 Engineering, including event streams, ingestion pipelines, and ML-driven workflows.
• Write high-quality unit, integration, and functional tests enabling safe refactoring and continuous delivery.

Skills

Python

Go

Java

Kubernetes

RESTful API

Education

Bachelor's or Master's degree in Computer Science, Computer Engineering or related field

Tools

Kafka

Storm

Flink

Databricks

Spark

Redis

Cassandra

Postgres

Kubernetes

Job description

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

The role requires strong Python/Go/Java skills, experience with event-driven streaming (Kafka, Storm, Flink), and a solid background in Linux, RESTful APIs, and