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Job Type
Full Time
Job Details
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 CategorySoftware Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. Your Impact:In this role, you will have a crucial role in designing and implementing cloud-based infrastructure and platform tools for Salesforce AI Platform. This role requires high technical skills along with a strong affinity for architecture, Infra scaling, performance, and Infrastructure development to improve the performance and scalability of systems. You will be leading the R&D team’s development methodology, tools, and frameworks and make a significant impact on the “go-to-production” process for an auto-scaled cloud system. Who You’ll Work With:You will be a part of the Salesforce AI Platform, an AI technology that makes all Salesforce products smarter. In AI Platform, we develop AI solutions for all Salesforce clouds. We automate data entry and predictive analysis so our customers can make every selling moment count. Our AI solution prioritizes the best next steps, helps to win more opportunities, makes better decisions, increases forecast accuracy, and more.Salesforce AI Platform group comprises data scientists, engineers, and growth analysts dedicated to driving product strategy with data-driven insights. Responsibilities:
- Key role in designing and implementing cloud-based AI and Generative AI Infrastructure and services as part of the Salesforce AI Platform.
- Build a large-scale infrastructure to support the AI Platform for Salesforce Engineers and Data Scientists.
- Utilize the best architecture/capabilities across different underlying platforms while avoiding duplication of functionality (i.e., one implementation of each significant component) and building shared services across multiple applications.
- Develop software solutions by studying information needs, and systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.
- Support software engineers by providing advice, coaching, and educational opportunities.
- A related technical degree required.
- SMTS 3+/LMTS 6+/PMTS 8+ years of software infrastructure development or DevOps experience.
- Working knowledge of Kubernetes, ability to manage, upgrade and support a fleet of Kubernetes services.
- Knowledge of AWS Sagemaker, Bedrock, Vertex AI, Azure AI to empower AI infrastructure.
- Knowledge of most used AWS services.
- Hands-on experience in building and delivering robust and scalable solutions using AWS platform services
- Solid DevOps skill sets (Terraform, CI/CD, spinnaker)
- Familiarity with DevOps/SRE principles.
- Excellent engineering skills, strong communication skills.
- Ability to complete tasks “End to End” - from design and implementation to continuous deployment in production.
- Strong cloud security and standard processes for cloud infrastructure management - required for PMTS level.
- Experience in AWS cloud services such as SageMaker Ground Truth, Bedrock, and other AWS services to support AI solutions.
- Shell scripting experience with Bash
- Development experience with Python or Golang
- Experience deploying and managing Istio.
- Experience deploying and managing Hashicorp Vault.
- MLOps (model deployment, training, best practices)
- Familiarity with one or more ML/AI open-source frameworks / libraries.
About the Company
Salesforce
San Francisco, CA, United States
WHO WE ARE: We’re Salesforce, the Customer Company, inspiring the future of business with AI+Data+CRM. Leading with our core values, we help... Read more