Software Engineering SMTS/MTS

Salesforce • Bellevue, WA

1d

About The Position

As a Software Engineer on the Data Cloud Big Data Compute Platform team at Salesforce, you are part of a team that owns the compute infrastructure powering large-scale Spark workloads. You work on optimizing core Spark performance, solving complex distributed systems challenges, and building scalable AI infrastructure — including smaller language models. You collaborate closely with engineers across Data Cloud to deliver reliable, high-performance systems at scale.

Requirements

• 4+ years of backend software development experience building large-scale distributed systems.
• Strong programming skills in Java; proficiency in Python or Rust is a plus.
• Hands-on experience with cloud platforms (AWS or GCP) and Kubernetes/container orchestration.
• Experience with Agile and Test-Driven Development (TDD) methodologies.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed