Software Engineering SMTS/MTS

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview of the Role:

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.

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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.