Senior Salesforce Developer Apex, LWC, Integrations

Machine Learning Technologies, LLC

Missouri

On-site

USD 90,000 - 120,000

Full time

1 hour ago
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Job summary

Machine Learning Technologies, LLC is seeking a Salesforce-focused technical leader to drive enterprise-grade Salesforce.org implementations and cross-team collaboration. The role emphasizes fostering Agile practices, mentoring delivery staff, and advancing DevOps and CI/CD pipelines across projects.

The ideal candidate will have full-stack Salesforce experience, strong communication skills, and a track record of guiding teams in complex integrations and data modeling.

Qualifications

  • Experience developing enterprise-level Salesforce.com applications (full-stack).
  • 2–3 years in a Scrum team environment.
  • Strong problem-solving, interpersonal, and written/verbal communication skills.
  • SFDC Data Model knowledge across Salesforce cloud/products and data modeling experience.
  • Expertise in branching/code merging practices in Git or equivalent.

Responsibilities

  • Lead and demonstrate proficiency in Salesforce core capabilities (Apex, LWCs, flows, triggers, formulas).
  • Participate in Agile ceremonies and provide leadership to team members.
  • Enhance DevOps processes, pipelines, monitoring, and test automation.
  • Understand cross-system integration concepts and API interactions.
  • Evaluate products/solutions including Salesforce capabilities and third-party offerings via prototypes/PoCs to align with business goals.
  • Design patterns and best practices for COE technical delivery.
  • Mentor technical delivery staff.

Skills

Salesforce development
Scrum experience
Problem solving
Communication skills

Tools

Git
CI/CD
Jenkins
Copado

Job description

Machine Learning Technologies, LLC is seeking a Salesforce-focused technical leader to drive enterprise-grade Salesforce.org implementations and cross-team collaboration. The role emphasizes fostering Agile practices, mentoring delivery staff, and advancing DevOps and CI/CD pipelines across projects.

The ideal candidate will have full-stack Salesforce experience, strong communication skills, and a track record of guiding teams in complex integrations and data modeling.

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