Software Engineering SMTS/MTS (Distributed Systems/AI)

TL;DR

Software Engineering SMTS/MTS (Distributed Systems/AI): Designing and optimizing compute infrastructure for large-scale Spark workloads with an accent on scalability, fault tolerance, and AI infrastructure. Focus on solving complex distributed systems challenges and building scalable systems for language models.

Location: Washington - Bellevue (Onsite)

Company

hirify.global is a platform-as-a-service cloud computing company owned by Salesforce, specializing in scalable cloud infrastructure.

What you will do

• Design, develop, and optimize compute infrastructure supporting large-scale distributed Spark workloads.
• Solve complex distributed systems challenges including scalability, fault tolerance, and consistency trade-offs.
• Build and maintain scalable AI infrastructure, including smaller language model systems.
• Partner with engineers across Data Cloud to improve system observability, telemetry pipelines, and monitoring platforms.

Requirements

• 4+ years of backend software development experience building large-scale distributed systems.
• Strong programming skills in Java.
• Hands-on experience with cloud platforms (AWS or GCP) and Kubernetes/container orchestration.
• Experience with Agile and Test-Driven Development (TDD) methodologies.
• Must be based in or able to work from Bellevue, Washington.

Nice to have

• Experience with distributed data technologies such as Spark, Flink, Kafka, Trino, or HBase.
• Familiarity with observability systems, telemetry pipelines, or monitoring platforms.
• Knowledge of AI/ML infrastructure and language model systems.