Lead Full Stack Security (Systems & Software) Engineering (GRC)

Salesforce Inc.
Bellevue, WA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$172,500.0 - $260,100.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Systems Engineering Microsoft Azure Software as a Service Cloud Computing Security Software Quality Continuous Integration
+49 more
Data Visualization Relational Databases Cursor Software Design Patterns DevOps Distributed Computing Environment Django Web Framework Graph Database High-Level Architecture Issue Tracking Systems Information Systems Security Architecture Professional Python (Programming Language) PostgreSQL MySQL Netsuite NoSQL Productivity Software OpenAI Smartsuite Salesforce.Com Secure Coding Security Information and Event Management TypeScript Policy as Code Apex Code Google Cloud Enterprise Software Applications GitHub Copilot ReactJS Flask (Web Framework) Claude Code Prompt Engineering Salesforce Lightning Spring-boot Multi-Cloud AI Coding Agents Agentic-AI Fastapi Vue.js Containerization AngularJS Material UI Kubernetes Salesforce Object Query Language (SOQL) Claude Google Gemini Workday Docker Microservices

Job description

  • 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 run low-latency risk evaluation engines.
  • Partner with Product Management, Security Architects, and GRC leaders to translate 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 set rigorous continuous integration and continuous delivery (CI/CD) and testing benchmarks across the engineering organization.
  • Design and implement extensible Policy as Code and Compliance as Code engines, using Open Policy Agent (OPA) or custom evaluation frameworks, along with runtime platforms such as Cloud Security Posture Management (CSPM) and Endpoint Detection and Response (EDR) tools, that dynamically audit infrastructure and enterprise controls.
  • Constrain the outputs of AI coding assistants with declarative, machine-readable rules.
  • Lead the design of automated evidence collection pipelines that integrate with multi-cloud environments (Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)), identity providers, enterprise security tools, CI/CD pipelines, ticketing systems, and corporate productivity applications such as Workday and NetSuite.
  • Build dynamic risk analysis engines and auditing interfaces that map continuous technical evidence against major regulatory standards, including National Institute of Standards and Technology (NIST) Special Publication 800-53, International Organization for Standardization (ISO) 27001, and System and Organization Controls (SOC) 2.
  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow, 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.
  • Contribute to building and maintaining shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  • Critically evaluate code, whether human- or AI-generated, for correctness, quality, security, and performance.
  • Lead the adoption and integration of AI coding assistants, such as Claude, Gemini, and OpenAI application programming interfaces (APIs), across the engineering lifecycle to improve team productivity, automate test generation, and streamline refactoring.
  • Mentor senior and mid-level engineers across time zones, fostering a culture of technical excellence, accountability, and continuous learning.
  • Lead cross-functional alignment and technical discussions across a geographically dispersed team that works in an asynchronous-first culture.

Requirements

Join the team building the next-generation Security Assurance Governance, Risk, and Compliance (GRC) platform at Salesforce. As a lead full stack engineer, you own the architecture, technical roadmap, and delivery of the platform’s core engines, including policy as code, compliance as code, automated evidence collection, telemetry and alerting, and risk evaluation. You guide distributed feature teams from concept through deployment and shape how AI coding assistants are used across the engineering organization to raise both speed and code quality., * 10 to 12+ years of professional full stack software and systems engineering experience, including 3+ years in a Lead, Staff, or Principal Engineer capacity leading technical projects and distributed engineering teams.

  • A proven record of taking complex Software as a Service (SaaS) platforms or enterprise software projects from architectural inception to production delivery.
  • The ability to break down ambiguous business requirements into high-level architecture designs, concrete technical epics, and actionable execution plans.
  • Deep mastery of both Python and Java, including enterprise frameworks such as FastAPI, Django, Flask, and Spring Boot, and microservice design patterns.
  • Advanced proficiency in modern JavaScript or TypeScript frameworks (React, Vue, or Angular), with experience designing scalable component libraries and complex data visualization dashboards.
  • Strong expertise in relational databases (PostgreSQL, MySQL), NoSQL and graph databases, distributed data processing, containerization (Docker, Kubernetes), and a public cloud platform (AWS, Azure, or GCP).
  • Working knowledge of NIST SP 800-53, ISO/IEC 27001, and SOC 2 Trust Services Criteria.
  • Direct experience building or architecting systems around continuous control monitoring, automated audit trails, or policy engine evaluation, such as OPA with the Rego language.
  • A demonstrated, genuine AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools, such as Claude Code, GitHub Copilot, Codex, and Cursor, in development workflows, along with a strategic vision for integrating AI into technical workflows.
  • Advanced prompt engineering skills, including the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • A related technical degree required., * Experience architecting commercial GRC tools, Security Information and Event Management (SIEM) systems, or CSPM systems.
  • Practical experience implementing OPA or similar policy-as-code tools at scale.
  • Security certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud security specialty certification.
  • Experience with the Salesforce platform, including Lightning Web Components, Apex, and Salesforce Object Query Language (SOQL).

Benefits & conditions

benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $172,500 - $260,100 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

About the company

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., Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion

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