SalesforceSoftware Security Engineer - SMTS/LMTS/PMTS
Salesforce is hiring a Software Security Engineer - SMTS/LMTS/PMTS in San Francisco, United States. It pays $149k-$314k a year and Level rates it ; you can apply on Salesforce.
Level's read on this job
- On Level's scale, this cybersecurity role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Gemini, Google Cloud and Gemini AI among its tools and skills.
- Level classes it as a senior role.
- Salesforce has 1,500+ other open roles on Level.
- Posted in the last few days.
AI in this role
Engineer robust security tools and infrastructure to secure distributed micro-services and AI platforms on Google Cloud.
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 EngineeringJob 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 and Google Cloud have embarked on a groundbreaking partnership worth $2.5 billion to revolutionize customer relationship management (CRM) through advanced artificial intelligence (AI). By integrating Google's Gemini AI models into Salesforce's Agentforce platform, we're enabling businesses to harness multi-modal AI capabilities—processing images, audio, and video—to deliver unparalleled customer experiences. Join our team of talented engineers and help us advance the integration of Salesforce applications on Google Cloud Platform (GCP).
We are seeking a proactive and skilled Software Security Engineer to join our GCP team. The ideal candidate will be responsible for enhancing our security posture across various domains, focusing on development, vulnerability management, infrastructure security, and the security of distributed and scalable distributed systems. This role requires hands-on experience with security systems, a deep understanding of modern threats, and the ability to drive security improvements through engineering solutions.
As a Software Security Engineer, you won’t just find vulnerabilities, you’ll engineer the systems that prevent them. You will play a pivotal role in securing our distributed micro-services architecture on GCP, moving security by building automated, high-performance tools that empower our entire engineering organization.
What You'll Actually Be Doing:
- Security Engineering & Automation: Build and integrate high-performance security tools and custom scripts into our CI/CD pipelines (SAST/DAST, SCA, SIEM) to automate manual toil.
- Infrastructure as Code (IaC): Develop and secure Terraform/IaC templates to ensure our cloud infrastructure is hardened by design before it ever reaches production.
- Vulnerability Leadership: Lead the end-to-end vulnerability lifecycle, using a risk-based approach to prioritize remediation across network, cloud, and application layers.
- Architecture & Threat Modeling: Partner with DevOps and Product teams to conduct threat modeling and architectural reviews, ensuring new features are resilient and scalable.
- Compliance & Governance: Act as the technical lead for audits (SOC2, ISO 27001), leveraging automation to provide evidence of consistent monitoring and timely closure of risks.
- Production Resilience: Troubleshooting and resolving complex security issues in production using distributed tracing and modern monitoring tools.
You're Our Person If:
- Engineering Mindset: 5+ years for SMTS, 7+ years for LMTS; 9+ years for PMTS in Security Engineering with a focus on building tools, not just managing them.
- Coding Proficiency: Strong experience in Go, Java, or Python with a solid grasp of Object-Oriented Programming and automation.
- Cloud & Infrastructure Expertise: Deep experience with GCP (similar) and Terraform for managing cloud security posture (CSPM) and infrastructure.
- Security Domain Knowledge: Practical experience with network protocols, OS hardening (Linux), and modern attack vectors.
- Collaborative Spirit: A desire to work cross-functionally with DevOps to embed security into the SDLC.
Even Better If:
- You have experience with secure software development lifecycle practices.
- You know container security tools such as Docker and Kubernetes.
- You have built or contributed to open source tools.
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 $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.How we rate this
Software Security Engineer - SMTS/LMTS/PMTS at Salesforce rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- This job starts at
- $149k
- Typical cybersecurity job
- $159k
This posting starts 7% below the typical cybersecurity job. See cybersecurity jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where security engineering was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where vulnerability management was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Security Engineering, Infrastructure As Code, Vulnerability Management, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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