Senior Software Developer Cloud & Distributed Systems

Senior 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 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, contribute to the platform that powers AI ‑driven enterprise networking at massive scale, and serve as the data SME for the team and organization by owning the software engineering side of database and Elasticsearch, and leading technical discovery, monitoring and troubleshooting for elastic search use cases.

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 - 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.

Knowledge and Skills:


* Strong understanding of RESTful API design and implementation.


* Experience working with distributed datastores such as Redis, Cassandra, or Postgres.


* 4+ years working with Elasticsearch or OpenSearch.


* 3+ years working with big ‑ data frameworks such as Apache Spark or Databricks.


* 3+ years building or operating distributed systems using cloud ‑ native technologies or Kubernetes.


* Familiarity with DevOps practices, CI/CD, automation...