Software Developer Cloud & Distributed Systems

HPE•San Juan, PR

4d•Hybrid

About The Position

We are looking for a passionate 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 implement highly scalable distributed systems, own key cloud services end‑to‑end, and contribute to the platform that powers AI‑driven enterprise networking at massive scale.

Requirements

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

Responsibilities

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 (AI Driven Engineering), including event streams, ingestion pipelines, and ML‑driven workflows.
Write high‑quality unit, integration, and functional tests that enable safe refactoring and continuous delivery.