Security Platform Engineer - MTS

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 Experience Salesforce is seeking a Software Engineer (MTS) to design and build compliance automation on the Salesforce Platform within Product Security. This role is ideal for a Salesforce Platform Developer who wants to apply their craft to a high-leverage problem: turning regulatory compliance from a manual, evidence-chasing exercise into an engineered system of record, automated controls, and agent-driven workflows. You will extend our Salesforce-native Security & GRC Platform with new objects, Apex services, Lightning experiences, and Agentforce-powered workflows. You will lead and support AI-enabled tooling development for compliance platforms, risk governance, design reviews, vulnerability management, bug bounty programs, and more. What You'll Actually Be Doing Design and build features on the Security & GRC Platform: Data model extensions, Apex services, triggers, Flows, LWCs, and integrations that operationalize CCF controls across our compliance tooling portfolio. Implement automated control testing and evidence evaluation: Translate CCF and SFSS requirements into configurable, machine-executable specifications on the platform. Architect Agentforce workflows: Build LLM-powered workflows for signal triage, root-cause analysis, evidence evaluation, and audit narrative generation grounded in our GRC data model. Build platform integrations: Connect Security & GRC Platform with enterprise systems (SIEM, cloud providers, HRIS, ticketing, GUS) using Salesforce APIs, Platform Events, and Named Credentials. Develop monitoring dashboards: Build Lightning experiences and CRM Analytics dashboards that surface real-time control health, compliance drift, and remediation status. Own data model decisions: Design canonical controls data models, evidence lineage tracking, and semantic normalization—with ownership of schema, sharing rules, and performance. Partner with audit and engineering : Validate control specifications, test logic, and evidence requirements against SOC 2, ISO 27001, and PCI DSS standards. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing 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. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. You're Our Person If You Have: 4+ years Salesforce Platform development: Apex, SOQL/SOSL, Lightning Web Components, Flows, Platform Events, and Salesforce APIs (REST/SOAP/Bulk/Streaming) Strong Apex and SOQL proficiency; working proficiency in SQL and Python for data engineering and integrations Scalable platform design : Experience designing governor-limit-aware code, data models, and integration patterns (Named Credentials, External