Smarsh Sites

Smarsh Sites

Sr. Full-Stack Developer - AI-forward

US - Remote · Senior

Sponsorship not specified$147k-$167kDetected 14 days ago
JavaScriptPythonJavaGoC#RubyVue.jsHTMLNode.jsDistributed SystemsFull-Stack DevelopmentObject-Oriented ProgrammingCode ReviewGitAWSDockerKubernetesCI/CDDevOpsPlatform EngineeringRESTData EngineeringJiraSalesforce

About the role

  • Apply and advance our AI-SDLC methodology, using AI chat and coding tools as a core part of the development lifecycle - including Claude, ChatGPT, and open-source alternatives.
  • Establish patterns and guardrails for safe, effective, and consistent AI-assisted development across the team.
  • Write production-quality Apex, Lightning Web Components, and integration code.

Responsibilities

  • Build and maintain Claude plugins and related tooling that extend AI capabilities into the team's engineering workflows.
  • Build, integrate, and support MCP (Model Context Protocol) servers that connect AI tooling to the team's systems and data.
  • Build services and automation in Python or another object-oriented language where it is the right tool for the job.
  • Conduct architecture reviews, solution design sessions, and code reviews for complex implementations across Apex, LWC, Flow, and CPQ, identifying opportunities for shared patterns and platform libraries.

Requirements

  • You are expected to contribute directly to the most complex and high-stakes engineering work, not just review it.
  • Establish yourself as a primary point of contact for your area of expertise, actively seeking clarification when necessary.
  • 10+ years of professional software engineering experience, with at least 5 years focused on the Salesforce platform in complex, multi-cloud enterprise environments.
  • Proficiency in Python or another object-oriented programming language.
  • Experience with the MuleSoft Integration Platform and DataWeave.
  • Experience with AWS and cloud development.

Compensation

  • $147k-$167k

This listing is sourced directly from Smarsh Sites's careers page and normalized into a canonical job model.