Software Engineering SMTS
Salesforce1 day ago
Base Salary
$149k - $246k/yr
Responsibilities
- Build and scale Java and Python backend services and APIs.
- Own services end to end in a large-scale, highly available distributed cloud platform.
- Automate CI/CD pipelines and apply DevOps practices including containers, infrastructure as code, and observability.
- Integrate AI/ML capabilities into the platform.
- Participate in code reviews, mentoring, and on-call rotations.
Requirements
- A CS degree or equivalent experience.
- At least 5 years of software development experience with strong Java and Python skills.
- At least 3 years of CI/CD experience with Jenkins, Spinnaker, GitLab CI, or GitHub Actions.
- At least 3 years of DevOps experience with Docker and Kubernetes.
- Experience with AWS, GCP, or Azure; AI/ML integration; Maven or Gradle; Linux; and networking.
- Preferred experience includes SQL, PostgreSQL, Oracle, TensorFlow, PyTorch, scikit-learn, Kafka, Spark, Airflow, Prometheus, Grafana, Datadog, MongoDB, Redis, DynamoDB, and 24/7 highly available production environments.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The role may be eligible for incentive compensation, equity, and benefits.
Tech Stack
Amazon DynamoDBApache AirflowApache KafkaApache SparkAWSAzureDatadogDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGradleGrafanaJavaJenkinsKubernetesLinuxMavenMongoDBPostgreSQLPrometheusPythonPyTorchRedisscikit-learnSpinnakerSQLTensorFlow
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.