S

Salesforce

Builds cloud software for customer relationships

Assurance Engineering Platform Developer SMTS / LMTS

Full-Stack EngineeringUpdated on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Six to thirteen years of professional full-stack software engineering experience, including at least three years at the Senior Member of Technical Staff or Lead Member of Technical Staff level leading technical projects and distributed engineering teams.
  • Proven experience taking complex SaaS platforms or enterprise software projects from architectural inception to production delivery.
  • Demonstrated ability to break down ambiguous business requirements into high-level architecture designs, technical epics, and actionable execution plans.
  • Deep mastery of Python and Java, including enterprise frameworks such as FastAPI, Django, Flask, and Spring Boot, and microservices design patterns.
  • Advanced proficiency in modern JavaScript/TypeScript frameworks such as React, Vue, or Angular, including designing scalable component libraries and complex data visualization dashboards.
  • Advanced proficiency in leveraging AI coding assistants such as Claude, Gemini, OpenAI, and GitHub Copilot, along with a strategic vision for integrating AI into technical workflows.
  • Strong expertise in relational databases such as PostgreSQL and MySQL, NoSQL and graph databases, distributed data processing, containerization with Docker and Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
  • Working knowledge of regulatory standards including NIST SP 800-53, ISO/IEC 27001, and SOC 2 Trust Services Criteria.
  • Direct experience building or architecting systems for continuous control monitoring, automated audit trails, or policy engine evaluation such as OPA/Rego.

Responsibilities

  • Take technical ownership of complex, multi-system initiatives, driving architectural decisions, technical specifications, phase planning, and execution across the delivery lifecycle.
  • Architect resilient, cloud-native microservice architectures that process large-scale compliance telemetry, support automated evidence ingestion, and execute low-latency risk evaluation engines.
  • Partner with Product Management, Security Architects, and GRC leaders to translate broad business and regulatory strategies into detailed technical roadmaps, milestones, and sprint backlogs.
  • Establish engineering standards, perform high-impact code and architecture reviews, enforce secure coding guidelines, and institute rigorous CI/CD and testing benchmarks across the engineering organization.
  • Design and implement extensible Policy as Code and Compliance as Code engines, using tools such as Open Policy Agent or custom evaluation frameworks, and runtime platforms such as CSPM and EDR to dynamically audit infrastructure and enterprise controls; constrain AI coding assistant outputs with declarative machine-readable rules.
  • Lead the design of automated evidence collection pipelines integrating with multi-cloud environments, identity providers, enterprise security tools, CI/CD pipelines, ticketing systems, and productivity or corporate applications such as Workday and NetSuite.
  • Build dynamic risk analysis engines and auditing interfaces that map continuous technical evidence against regulatory standards including NIST 800-53, ISO 27001, and SOC 2.
  • Lead adoption and integration of AI coding assistants such as Claude, Gemini, and OpenAI APIs across the engineering lifecycle to optimize team productivity, automate test generation, and streamline refactoring.
  • Mentor senior and mid-level engineers across time zones, fostering technical excellence, accountability, and continuous learning.
  • Lead cross-functional alignment and technical discussions across a geographically dispersed team operating in an asynchronous-first culture.

Desired Qualifications

  • Prior experience architecting commercial GRC tools, Security Information and Event Management (SIEM), or Cloud Security Posture Management (CSPM) systems.
  • Practical experience implementing Open Policy Agent (OPA) or similar policy-as-code domain tools at scale.
  • Security certifications such as CISSP, CCSP, or Cloud Security Specialties.
  • Experience with the Salesforce platform, including Lightning Web Components, Apex, and SOQL.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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