Software Engineering MTS

## Software Engineering MTSApplyremote type:
Office Tech-Flexible locations:
Texas - Dallas time type:
Full time posted on:
Posted Yesterday job requisition :
JR342765
* 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 Category Software Engineering Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Digital Enterprise Technology – Legal Risk and Compliance (LRC) Application Development team is seeking a talented and experienced  Developer to design, develop, test, and enhance internal technology solutions on the Salesforce platform that support mission-critical business processes. description### ### Responsibilities
* Design, develop, test, and deploy scalable applications on the Salesforce platform (Sales Cloud, Service Cloud, and ).
* Write efficient, maintainable, and reusable Apex, Lightning, and Visualforce code.
* Integrate quality engineering best practices, including automated testing, code quality enforcement, and environment management using Git, Jenkins, SFDX, and Salesforce CLI.
* Participate in all phases of the development lifecycle—from technical design through implementation, testing, and deployment.
* Collaborate with business stakeholders, technical teams, and cross-functional partners to design and implement solutions that meet business requirements.
* Provide expertise on Salesforce APIs, profiles, security models, and sandbox management.
* Document best practices and handoff materials for IT Support.
* Contribute ideas and feedback across multiple projects within the team’s portfolio.
* Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of the development workflow.
* Push the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
* Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
* Contribute to building and maintaining shared system context repositories, enabling AI systems to operate accurately and reliably.
* Critically evaluate both human- and AI-generated code for correctness, quality, security, and performance.
* Develop and maintain Tableau dashboards and engineering productivity reports to provide actionable insights into delivery performance, cycle time, and operational efficiency.
* Support Agentforce implementations and AI-driven SDLC initiatives for Salesforce engineering teams, including AI-assisted development workflows, intelligent automation, and developer productivity optimization.### ### Required Skills & Experience
* 4+ years of experience in Information Technology and Software Engineering.
* 2+ years of hands-on experience with , Apex, Lightning, and Visualforce development.
* 2+ years of experience in Java, JavaScript, and HTML.
* Strong understanding of SOQL, SOSL, and core Salesforce products (Sales Cloud, Service Cloud, ).
* Experience developing test strategies, executing tests, and maintaining test automation frameworks for large enterprise projects.
* Familiarity with database concepts and data modeling.
* Experience with Tableau reporting, dashboard development, and engineering/productivity analytics.
* Understanding of developer productivity metrics such as cycle time, PR analytics, flow efficiency, and operational reporting.
* Hands-on experience or strong interest in Agentforce, AI-driven SDLC frameworks, and AI-assisted engineering workflows within the Salesforce ecosystem.
* Experience…