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HYBRID as Salesforce Lead at Dallas, Texas, USA
Email: [email protected]
From:

Kartik Mahajan,

GVR Infotek

[email protected]

Reply to:   [email protected]

Title: Tech Lead  Software Engineering (Salesforce Specialization)

Duration: 6 Months Contract To Hire  

Location: Dallas, TX Hybrid

Client: Southwest Airlines

 USC GC ONLY

Interview: Tele+F2F

Need only local candidates with DL Copy.

Need  (2) references of submitted candidates required. 

*** 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.***

Key Responsibilities:

Technical Leadership:

Ensure the technical quality and scalability of software developed by the team, with a focus on cloud and AI integration.

Lead the development team, ensuring the capacity and skills align with delivery expectations, particularly in cloud-based and AI-driven environments.

Define application roadmaps in collaboration with Solution Architects, incorporating cloud services like AWS, Azure, Google Cloud, and AI models like Claude to enhance Salesforce functionality.

Cloud & AI Integration & Development:

Lead the design and implementation of cloud-based solutions, integrating Salesforce with platforms such as AWS, Azure, Google Cloud, and AI models.

Develop and maintain cloud-native and AI-driven applications that extend Salesforce's capabilities, including serverless computing, data storage, AI-driven insights, and processing solutions.

Ensure security and compliance within cloud and AI environments, leveraging services like AWS IAM, Azure Security Center, Salesforce Shield, and AI-specific governance.

AI-Driven Solutions:

Utilize AI models like Claude or similar large language models to automate and enhance business processes within Salesforce.

Develop and deploy AI-powered applications or components within Salesforce to improve customer experiences, decision-making, and operational efficiency.

Collaborate with data scientists and AI experts to integrate advanced AI capabilities into Salesforce solutions.

Project Leadership:

Collaborate with all levels of the organization, from team members to senior leadership, to plan and oversee cloud and AI-based Salesforce projects.

Plan and oversee application deployment activities, including the use of cloud CI/CD pipelines, AI model deployment, and DevOps practices.

Salesforce, Cloud & AI Development:

Develop, maintain, and review software with a focus on leveraging cloud services and AI technologies to enhance Salesforce performance and scalability.

Execute unit, functional, and integration tests, with a particular emphasis on cloud-based and AI-driven testing and monitoring tools.

Investigate and integrate new cloud and AI technologies that can improve Salesforce applications and development activities.

Mentorship and Coaching:

Mentor and coach development teams on cloud and AI architecture, design, and best practices in Salesforce development.

Translate leadership expectations into actionable tasks, focusing on cloud-based solutions, AI-driven processes, and Salesforce best practices.

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.

Thanks & Regards,

Kartik Mahajan

IT Recruiter

GVR Infotek LLC: 13573 Tabasco Cat Trail, Frisco, TX 75035

Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology green card Texas
HYBRID as Salesforce Lead
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Thu Aug 22 00:57:00 UTC 2024

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Location: Dallas, Texas