Software Developer Cloud & Distributed Systems

Role Description

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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.

You will be responsible for the verification and quality assurance of all features on Routing/Switching platforms with regard to multi-dimensional scaled solutions based on Enterprise Campus and branch as well as Data Center Customer Use Case, for HPE’s large customer base.

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.

Qualifications

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

Requirements

• Strong understanding of RESTful API design and implementation.
• Experience working with distributed datastores such as Redis, Cassandra, or Postgres.
• 2+ years building or operating distributed systems using cloud‑native technologies or Kubernetes.
• 2+ years working with big‑data frameworks such as Apache Spark or Databricks.
• Familiarity with DevOps practices, CI/CD, automation, and service ownership.
• Experience with ETL pipelines, ML training and inference, or data tooling such as Pandas/DuckDB.
• Good understanding of Linux and systems fundamental.
• Strong analytical and problem‑solving skills.
• Excellent communication and cross‑functional collaboration skills.

Benefits

• Health & Wellbeing: A comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
• Personal & Professional Development: Programs catered to helping you reach your career goals.
• Unconditional Inclusion: A culture that celebrates individual uniqueness and values varied backgrounds.