| Salesforce Software Engineering at Dallas, Texas, USA |
| Email: [email protected] |
| From: manish, Adventatech [email protected] Reply to: [email protected] Job Title: Salesforce Software Engineering Location - Dallas, Texas Need Candidate with Local DL and 2 references *** Key is Claude (AI Model): "Claude" could refer to a large language model developed by Anthropic, similar to models like GPT. Claude is designed to assist with tasks like answering questions, drafting text, and more, similar to how OpenAIs models work.*** Client : Southwest Airlines Location: Dallas, TX (Local) Job Type: 6 Months Contract To Hire Working : Hybrid : 3 Days on site initially and later full time next year . Need Candidate with Local DL and 2 references Linked In Must Eligibility: Must be a Green Card holder or US Citizen (Eligibility will be strictly verified) Interview Process: Webex interview followed by a mandatory face-to-face interview *** We need ONLY LOCAL Candidates *** Required Knowledge/Skills: Advanced knowledge of Salesforce development, including Apex, Visualforce, and Lightning Web Components. Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and their integration with Salesforce. Experience with AI models like Claude or similar, and their application within enterprise solutions. Strong understanding of cloud-native and AI-driven development practices, including Serverless computing, AI model deployment, cloud data storage, and cloud security. Experience with Salesforce cloud products, such as Salesforce Marketing Cloud, Commerce Cloud, or Service Cloud. Preferred Skills/Abilities: Experience with Salesforce cloud analytics tools like Einstein Analytics or Tableau CRM. Familiarity with AI/ML practices and tools for training, deploying, and monitoring AI models in cloud environments. Experience with AI governance, ethics, and best practices in enterprise environments. Familiarity with DevOps practices, including CI/CD pipelines using cloud-based tools like Jenkins, GitHub Actions, or Azure DevOps. Certifications: Salesforce Platform Developer I & II (required) Salesforce Administrator (preferred) AWS Certified Solutions Architect, Azure Solutions Architect, or equivalent cloud certification (preferred) AI/ML certifications, such as those offered by Google Cloud, AWS, or specific to AI models like Claude (preferred) Working Environment: Highly collaborative and team-oriented, with a focus on leveraging cloud and AI technologies to drive innovation. Operates with a product mindset, focusing on continuous improvement and customer value generation. Capable of working independently with minimal supervision while mobilizing others to take action. Keywords: continuous integration continuous deployment artificial intelligence machine learning Texas Salesforce Software Engineering [email protected] |
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| Thu Aug 22 04:34:00 UTC 2024 |