Own end-to-end security for the financial wellness platform, including cloud and infrastructure security, vulnerability management, incident response, compliance controls, application security tooling, automation, detection pipelines, and AI/LLM threat modeling. The role partners with DevOps and engineering leadership, manages security assessments and audits, develops internal tooling and runbooks, and drives security policy, training, and remediation across the company.
Credit Sesame is a leading financial wellness platform dedicated to helping consumers achieve better financial health through cutting-edge technology and data-driven solutions. With a decade of credit expertise and a proven track record of serving over 18 million users, Credit Sesame leverages AI and advanced analytics to empower individuals to better understand and manage their credit. Our recently launched Sesame Platform extends our mission by providing financial institutions with a turnkey AI-powered credit intelligence solution.
As our security engineer, you'll own security end-to-end for our platform — standing up open-source tooling, writing your own scripts and automation, and running assessments.
You'll...
We are open to hiring for this role in the following states where we are set up to hire employees: CA, CO, NC, NJ, NV, and TX.
Artificial Intelligence Notice: Credit Sesame may use artificial intelligence tools to assist in reviewing application materials against job-related qualifications. These tools support the recruiting process and are not used to automatically select, reject, or evaluate candidates. Humans, including our recruiters and hiring managers, make all final decisions regarding interviews and offers. Applicants may contact People Operations to request a reasonable accommodation.
By clicking "Submit Application" (or related call to action), you acknowledge that you have read the Credit Sesame Employment Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
As our security engineer, you'll own security end-to-end for our platform — standing up open-source tooling, writing your own scripts and automation, and running assessments.
You'll...
- Run security reviews for new tools, vendors, and projects — data handling, AI usage, DPAs, PII, authentication/authorization, and third-party security reports (SOC 2, PCI, ISO, pentest results);
- Own access and infrastructure security — IAM least-privilege reviews, S3/database access controls, environment segregation, service-to-service authentication, and network configuration audits (VPC flow logs, inbound/outbound rules);
- Run vulnerability management across cloud and endpoints, and manage IDS/IPS (e.g., Palo Alto Panorama, AWS WAF) and EDR/MDR tooling;
- Lead security incident response end to end — triage, investigate, contain, document, and build the runbooks as you go;
- Implement and maintain the technical controls supporting our PCI DSS and SOC 2 / ISO 27001 compliance programs, including internal audits, risk metrics, and disaster recovery planning;
- Partner with DevOps/IT on patch management and secure infrastructure defaults, and present tooling and risk recommendations to engineering leadership;
- Build our in-house AppSec scanning program — evaluate and pilot SAST/SCA/IaC tooling (Semgrep, Trivy, Upwind), integrate into GitLab CI and Jenkins, define severity-based remediation SLAs, and drive rollout across services;
- Build internal security tooling and automation — custom scripts and integrations (Python/boto3, APIs) that pull data from tools without native integrations into shared dashboards and reports;
- Build and tune detection pipelines — for example, feeding traffic/bot-protection alerts (Datadome) into our log platform (ELK/Kibana) and writing rules that catch real attack patterns;
- Threat-model and pentest our AI/LLM systems — scope risks like prompt injection and data exfiltration through MCP servers, coordinate external pentests where needed, and drive remediation;
- Maintain security policies and practices and drive training and adoption throughout the company.
- You have 7+ years of hands-on security engineering experience across application security, cloud security, and network/penetration testing — not just one lane;
- You've driven tooling or architecture decisions independently (evaluated options, made the call, defended it to leadership);
- You're self-directed, pragmatic, and ruthless about prioritization;
- You've built production automation from scratch — API integrations, custom collectors, or internal tooling — not just one-off scripts;
- You have hands-on experience deploying and running OSS security tools — Burp Suite Community/OWASP ZAP, Nmap, Nuclei, Metasploit, Semgrep, Trivy, Wazuh/OSSEC, ELK/Kibana, Prowler/ScoutSuite, HashiCorp Vault, or similar;
- You have solid AWS security experience;
- You have working knowledge of PCI DSS, SOC 2, and ISO 27001 — enough to implement controls and support audits;
- You're curious about emerging security domains and comfortable threat-modeling systems (like AI/LLM applications) that don't have an established playbook yet;
- You're an excellent communicator who can translate cost/coverage tradeoffs and technical risk for both engineers and executives;
- Bonus: OSCP, GPEN, or similar certifications; bug bounty experience; prior experience at a startup; or experience securing LLM/AI-based systems;
- BS in Computer Science or related field, or equivalent hands-on experience.
You'll love it here because...
- You’ll have equity in a pre-IPO company backed by top VCs;
- We offer comprehensive medical, dental, and vision insurance;
- We offer a monthly home office stipend;
- We offer a professional development program to support your continued growth
- We offer flexible paid time off;
- We have 10 paid holidays and additional 6 Sesame Wellness days;
- We prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
We are open to hiring for this role in the following states where we are set up to hire employees: CA, CO, NC, NJ, NV, and TX.
Artificial Intelligence Notice: Credit Sesame may use artificial intelligence tools to assist in reviewing application materials against job-related qualifications. These tools support the recruiting process and are not used to automatically select, reject, or evaluate candidates. Humans, including our recruiters and hiring managers, make all final decisions regarding interviews and offers. Applicants may contact People Operations to request a reasonable accommodation.
By clicking "Submit Application" (or related call to action), you acknowledge that you have read the Credit Sesame Employment Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Credit Sesame Mountain View, California, USA Office
444 Castro St, 5th Floor, Mountain View, CA, United States, 94041
Credit Sesame San Francisco, California, USA Office
100 Montgomery St, 25th Floor, San Francisco, CA, United States, 94104
Similar Jobs
Cloud • Information Technology • Machine Learning
Own and improve CoreWeave’s vulnerability management program across applications, cloud infrastructure, and hardware. Build production security automation, triage and remediation workflows, prioritization models, metrics, and risk reporting. Investigate hardware-adjacent vulnerabilities, support zero-day response, conduct root-cause analysis, and collaborate with engineering and operational stakeholders. Contribute to architecture decisions, technical standards, code reviews, documentation, and teammate onboarding.
Top Skills:
Ai/MlAWSAws LambdaAzureCisa KevCloudFormationCvssEpssFedrampGCPGcp Cloud FunctionsGoInfrastructure As CodeKubernetesPythonRapid7SemgrepSoarTenableTerraformThreat IntelligenceTinesWiz
Cloud • Information Technology • Machine Learning
Lead technical direction for vulnerability management, including security tooling, automation, LLM-based workflows, risk assessment, remediation, and vulnerability investigations. Build production services integrating security data, coordinate remediation across engineering teams, participate in vulnerability response, conduct post-mortems, and mentor engineers. The role also evaluates exploitability, attack paths, CVEs, and remediation priorities across cloud, Linux, container, and Kubernetes environments.
Top Skills:
CloudContainersCrowdstrikeCvssEpssGoJIRAKubernetesLinuxLlmsPythonRapid7RustTinesWiz
Cloud • Information Technology • Machine Learning
Architects and implements network security for hyperscale cloud and AI infrastructure, including firewalls, intrusion prevention, segmentation, zero trust, monitoring, and incident response. Secures GPU clusters, high-speed interconnects, and cloud services while collaborating with networking, infrastructure, DevOps, and software teams. The role also contributes to security policies, compliance controls, design reviews, automation, and security education across the organization.
Top Skills:
AWSAzureBgpCi/CdContainerized EnvironmentsDdos MitigationDevsecopsDnsFirewallsGCPGoHttp/SIamIds/IpsInfrastructure-As-CodeIso 27001MfaNetwork Access ControlNetwork SegmentationNistPythonSoc 2SsoTcp/IpVpnZero Trust
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

