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Senior Software Developer - Cloud & Distributed Systems

hpe · San Juan

New
Hybrid Senior 🇬🇧 English
Python Go Java Kafka Storm Flink Elasticsearch OpenSearch Redis Cassandra Postgres Apache Spark Databricks Kubernetes LangChain CI/CD

Job description

About the role

Hewlett Packard Enterprise is looking for a Senior Software Developer to join its Cloud Engineering team and help build the next generation of Mist's cloud-based network configuration and reporting platform. The role is hybrid, with an average of 2 days per week spent in an HPE office. You will design and implement highly scalable distributed systems, own key cloud services end to end, and act as the data subject matter expert for the team, owning the software engineering side of database and Elasticsearch.

Key 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 support safe refactoring and continuous delivery.

Required profile

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

Required skills

  • Strong understanding of RESTful API design and implementation.
  • Experience with distributed datastores such as Redis, Cassandra or Postgres.
  • 4+ years working with Elasticsearch or OpenSearch.
  • 3+ years with big-data frameworks such as Apache Spark or Databricks.
  • 3+ years building or operating distributed systems with cloud-native technologies or Kubernetes.
  • Familiarity with DevOps practices, CI/CD, automation and service ownership.
  • Experience with ETL pipelines, ML training and inference, or data tooling such as Pandas or DuckDB.
  • Familiarity with AI and AI agent frameworks such as LangChain, GitHub Copilot, MCP and agent orchestration frameworks.
  • Good understanding of Linux and systems fundamentals.

What we offer

  • A comprehensive suite of benefits supporting physical, financial and emotional wellbeing.
  • Programs for personal and professional development tailored to career goals.
  • An inclusive workplace with flexibility to manage work and personal needs.

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Source : ats:workday

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Published 10 hours ago

Expires 1 month from now

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hpe

San Juan