Senior Cloud & Distributed Systems Engineer (Hybrid)

Hewlett Packard Enterprise; San Juan (PR); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a Senior Software Developer for Cloud & Distributed Systems to design and implement scalable cloud services and data pipelines. You will own end-to-end cloud services, contribute to AI-driven enterprise networking, and lead discovery and troubleshooting for Elasticsearch and data tooling.

You will work on Python, Go and Java in a hybrid environment, collaborating across teams, with a focus on distributed datastores, big-data tools, and cloud-native platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering or related field.
• Typically 6–10 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.

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.

Skills

RESTful APIs

Distributed systems

Python

Go

Java

Kubernetes

Big data & ML tooling

Linux & OS fundamentals

Education

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

Tools

Kafka

Storm

Flink

Redis

Cassandra

Postgres

Elasticsearch/OpenSearch

Apache Spark/Databricks

Kubernetes

Job description

Hewlett Packard Enterprise is seeking a Senior Software Developer for Cloud & Distributed Systems to design and implement scalable cloud services and data pipelines. You will own end-to-end cloud services, contribute to AI-driven enterprise networking, and lead discovery and troubleshooting for Elasticsearch and data tooling.

You will work on Python, Go and Java in a hybrid environment, collaborating across teams, with a focus on distributed datastores, big-data tools, and cloud-native platforms.