
The Customer Company - CRM + Data + AI + Trust
Product Security Engineer, Infrastructure Security at Salesforce
About the role
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
Product
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.
IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES
We're hiring a Product Security Engineer join our Infrastructure Security Team. This role requires the ability to engineer automated guardrails, contribute to "paved path" templates, and assist in maintaining multi-cloud hygiene. This team is responsible for reducing developer toil while enforcing rigorous security configurations.
Responsibilities:
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Assist in the engineering and deployment of automated policy-as-code controls (e.g., OPA, Checkov) within CI/CD and runtime environments.
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Support the development and certification of Infrastructure-as-Code (IaC) modules. Ensure Terraform and multi-substrate templates adhere to strict security standards before they reach the engineering lifecycle.
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Participate in the maintenance of Key Risk Indicator (KRI) dashboards for AWS and GCP. Analyze multi-cloud asset data to identify and remediate privilege escalation paths.
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Actively identify manual security processes and develop automated scripts or tooling to eliminate them.
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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.
Performance Expectations:
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Do not wait for vulnerabilities to hit production. Proactively identify and block insecure configurations at the development stage.
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Solutions must minimize false positives. High-noise implementations will be rejected.
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Do not solve for the single instance. Build for the organization. All solutions must scale across all Salesforce Clouds.
Required Technical Competencies:
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2+ years of professional related experience
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Deep familiarity with Terraform. Must understand how to write and validate secure modules.
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Functional knowledge of AWS or GCP security configurations. Understanding of IAM, network boundaries, and organizational policies.
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Experience or strong aptitude for learning OPA (Open Policy Agent) or Checkov to implement preventative controls.
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Proficiency in Python or Go for automating security signal collection and remediation workflows.
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Understanding of how to integrate security tooling into automated deployment pipelines without impacting delivery velocity.
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A demonstrated, genuine AI-first approach to tasks. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
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Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.).
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Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
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A related technical degree required.
IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES
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.
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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
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 $117,200 - $176,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Required skills
Infrastructure security
Policy as code
CI/CD security
Terraform
Automation
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About Salesforce

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
Employees
San Francisco
Headquarters
$243B
Valuation
Reviews
10 reviews
4.3
10 reviews
Work-life balance
3.2
Compensation
4.5
Culture
4.6
Career
4.2
Management
4.1
78%
Recommend to a friend
Pros
Great benefits and high salary
Excellent work culture and supportive management
Career advancement and development opportunities
Cons
Work-life balance challenges and long hours
High-pressure environment with heavy workload
Fast-paced environment with high expectations
Salary Ranges
50 data points
Mid/L4
Senior/L5
Mid/L4 · ANALYST BUSINESS INTELLIGENCE
1 reports
$156,823
total per year
Base
$120,633
Stock
-
Bonus
-
$156,823
$156,823
Interview experience
4 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Assessment
5
Virtual Technical Interview
6
Onsite/Final Interview Loop
7
Manager Interview
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
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