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# Software Engineering SMTS

- **Company:** Salesforce Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $148,500.0 - $223,900.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Linux, DevOps, Amazon DynamoDB, Github, Gradle, Python (Programming Language), PostgreSQL, Machine Learning, Apache Maven, MongoDB, NoSQL, Oracle (Applications), Redis, Tensorflow, Prometheus, Software Engineering, Spinnaker, SQL Databases, Systems Integration, Datadog, Pytorch, Grafana, Apache Spark, Backend, Build Management, Gitlab-ci, Scikit Learn, Kubernetes, Apache Kafka, Data Management, Docker, Jenkins
- **Published:** September 18, 2026
- **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Software-Engineering-SMTS_JR358236

## About the Role

* CS degree or equivalent experience
 * 5+ years of software development experience with strong Java and Python skills
 * 3+ years of CI/CD experience (Jenkins, Spinnaker, GitLab CI, GitHub Actions)
 * 3+ years of DevOps experience (Docker, Kubernetes)
 * Experience with a public cloud provider (AWS, GCP, or Azure)
 * Experience integrating AI/ML capabilities
 * Experience with Maven/Gradle
 * Linux and networking experience

Preferred Qualifications

 * SQL experience with PostgreSQL and Oracle
 * Hands-on machine learning experience (TensorFlow, PyTorch, scikit-learn)
 * Experience with data platforms (Kafka, Spark, Airflow)
 * Experience with observability tools (Prometheus, Grafana, Datadog)
 * NoSQL experience (MongoDB, Redis, DynamoDB)
 * Experience supporting 24/7 high-availability production environments

Positioning

 * Primary: Java/Python
 * Strong required secondary: DevOps, CI/CD, AI
 * Preferred: PostgreSQL/Oracle plus machine learning

## Description

Design and build production-grade backend services in Java and Python, ship them with modern DevOps/CI-CD practices, and bring AI/ML capabilities into the platform. This team operates a large-scale, highly-available distributed cloud platform., * Build and scale Java and Python services and APIs

 * Own services end-to-end
 * Automate CI/CD pipelines
 * Apply DevOps practices (containers, Infrastructure as Code, observability)
 * Integrate AI/ML capabilities into the platform
 * Participate in code reviews, mentoring, and on-call rotations


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