Lead Full Stack Security (Systems & Software) Engineering (GRC)
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Before you apply
Salary$173k – $260k
LocationWashington - Bellevue; Colorado - Denver
Work modehybrid
Typefull-time
SeniorityLead
Experience10–12 yrs
DepartmentSoftware Engineering
EquityIncluded
Company size10,000+ people
PostedNov 2, 2026 · 6d ago
Verified live21h ago
At a glanceSummarised by Seekless from the posting.
10 to 12+ years of professional full stack software and systems engineering experience
3+ years in a Lead, Staff, or Principal Engineer capacity leading technical projects and distributed engineering teams
Proven record of taking complex SaaS platforms or enterprise software projects from architectural inception to production delivery
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
Demonstrated, genuine AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute well beyond 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, SIEM systems, or CSPM systems
Practical experience implementing OPA or similar policy-as-code tools at scale
Security certifications such as CISSP, CCSP, or a cloud security specialty certification
Experience with the Salesforce platform, including Lightning Web Components, Apex, and SOQL
Skills
Python
Java
FastAPI
Django
Flask
Spring Boot
JavaScript
TypeScript
React
Vue
Angular
PostgreSQL
MySQL
NoSQL
Docker
Kubernetes
AWS
Azure
GCP
Open Policy Agent (OPA)
Rego
Claude Code
GitHub Copilot
Codex
Cursor
Lightning Web Components
Apex
SOQL
NIST SP 800-53
ISO/IEC 27001
SOC 2
Benefits
Health insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchase program
Time off programs
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.
Applications will be accepted until 12/01/2026.
The Experience
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.
What You’ll Actually Be Doing
•
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.
You’re Our Person If…
•
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.
Even Better If…
•
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
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.
Legal
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
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, 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.
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