Software Engineering SMTS/MTS

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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 . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions.

Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. 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. Know your rights: workplace discrimination is illegal.

Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience.

Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $223,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.