Software Engineering MTS
Salesforce · Dallas, TX
- On site
- Full-time
- $150,000 / year
- Dallas, TX
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Job highlights
- Develop and test Salesforce applications.
- Write efficient Apex, Lightning, Visualforce code.
- Integrate AI tools into development workflows.
- Collaborate with business and technical teams.
- Build and ship production-grade software.
About the role
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 Force.com Developer to design, develop, test, and enhance internal technology solutions on the Salesforce platform that support mission-critical business processes.Responsibilities
- Design, develop, test, and deploy scalable applications on the Salesforce platform (Sales Cloud, Service Cloud, and Force.com).
- 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 Force.com, 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, Force.com).
- 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 integrating AI tools (Claude Code, GitHub Copilot, Codex, Cursor, etc.) into day-to-day software engineering workflows.
- A demonstrated AI-first approach to engineering—using AI to accelerate development, improve quality, and enhance productivity across the stack.
- Advanced prompt engineering skills and the ability to create structured prompts and system context that enable reliable, secure, and production-ready AI outputs.
Desired Skills
- Salesforce Admin and/or Developer Certification.
- Experience working in an Agile development environment.
- Strong understanding of the Software Development Life Cycle (SDLC).
- Experience with Test-driven Development (TDD) and Continuous Integration (CI) processes.
- Understanding of Software-as-a-Service (SaaS) principles.
- Familiarity with Agentforce architecture, AI agents, workflow orchestration, and enterprise AI adoption patterns.
- Experience building AI-enabled developer productivity dashboards and operational analytics solutions.
- Strong analytical and problem-solving skills.
- Ability to work independently, take ownership of projects, and manage multiple priorities in a fast-paced environment.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Key skills/competency
- Software Engineering
- Salesforce Development
- Apex
- Lightning
- Visualforce
- Force.com
- AI Development
- Prompt Engineering
- Tableau
- Agile Methodologies
Skills & topics
- Software Engineering
- Salesforce
- MTS
- Force.com Developer
- Apex
- Lightning
- Visualforce
- AI
- Prompt Engineering
- Tableau
- Java
- JavaScript
- Agile
- SDLC
- Cloud Computing
How to get hired
- Tailor your resume: Highlight experience with Force.com, Apex, Lightning, and AI tools relevant to Salesforce's AI-first approach.
- Showcase AI skills: Emphasize your experience with AI development tools, prompt engineering, and AI-driven SDLC.
- Prepare for technical interviews: Brush up on SOQL, SOSL, Salesforce APIs, and test automation frameworks.
- Demonstrate problem-solving: Be ready to discuss complex system design and AI integration challenges.
- Understand Salesforce culture: Research their core values and commitment to AI and customer success.
Technical preparation
Master Force.com, Apex, Lightning, Visualforce.,Practice SOQL, SOSL, and Salesforce APIs.,Integrate AI tools into coding workflows.,Develop automated test strategies and frameworks.
Behavioral questions
Describe a complex system you designed.,How do you ensure code quality and security?,Share an experience using AI in development.,How do you collaborate with stakeholders?
Frequently asked questions
- What are the key technical skills for a Software Engineer MTS at Salesforce?
- The key technical skills for a Software Engineer MTS at Salesforce include hands-on experience with Force.com, Apex, Lightning, and Visualforce development, along with proficiency in Java, JavaScript, and HTML. A strong understanding of SOQL, SOSL, and core Salesforce products is essential. The role also emphasizes experience with AI tools, prompt engineering, and AI-driven SDLC frameworks.
- How important is AI experience for this Software Engineer MTS role at Salesforce?
- AI experience is highly emphasized for this role. Salesforce is looking for candidates with a demonstrated AI-first approach to engineering, experience integrating AI tools into development workflows, advanced prompt engineering skills, and a strong interest in AI-driven SDLC initiatives and AI agents. This role is at the forefront of Agentforce, the future of AI at Salesforce.
- What kind of projects will a Software Engineer MTS work on at Salesforce?
- A Software Engineer MTS at Salesforce will design, develop, test, and enhance internal technology solutions on the Salesforce platform. This includes building scalable applications using Apex, Lightning, and Visualforce, integrating AI agents into human workflows, and contributing to AI-driven SDLC initiatives for Salesforce engineering teams.
- Does Salesforce use AI in their hiring process for Software Engineer MTS roles?
- Yes, Salesforce utilizes AI tools to assist recruiters in assessing candidate resumes and qualifications. However, they emphasize that human decision-makers will always make the final selection and hiring decisions. More information on their AI usage and candidate rights can be found in their Candidate Privacy Statement.
- What are the desired certifications for a Software Engineer MTS at Salesforce?
- While not strictly required, a Salesforce Admin and/or Developer Certification is a desired skill for this role. These certifications can demonstrate a strong foundational understanding of the Salesforce platform and its capabilities, which is beneficial for a Force.com Developer position.
- What is the work arrangement for the Software Engineer MTS position at Salesforce?
- The job description does not explicitly state the work arrangement (on-site, hybrid, or remote). However, given the nature of large tech companies and the mention of 'world of work as we know it is changing,' it is likely a hybrid or remote position. Candidates should clarify this during the application process.