Company Background Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide. Location: This position is remote within the United States or Canada. At Censys , we’re on a mission to provide best in class internet visibility and intelligence to the global security community. Our platform helps security teams uncover hidden threats, gain actionable insights, and build proactive defense strategies. Trusted by organizations worldwide, Censys cuts through the noise to surface the most critical risks, enabling teams to respond faster, and stay ahead of attackers. We’re constantly pushing the boundaries of what’s possible to help our customers see and secure the internet more clearly than ever before. Role Summary: Censys is seeking a Staff Application Security Engineer to join our Infrastructure and Operations Platform (SRE) team. In this role, you’ll own the application security strategy for how Censys builds and ships software — designing the secure paths, guardrails, and automation that let our engineers develop and deploy quickly, confidently, and securely. You’ll set technical direction across the software lifecycle, from infrastructure-as-code and container security to secure deployment workflows and the security of our AI/ML-enabled services. As a security company, we hold ourselves to the standard we help our customers achieve; this role is central to making that real. We expect all of our employees to consider customer happiness as our primary goal and to come to work every day eager to learn and educate, helping to make us a better organization every day. What You’ll Do: Own and drive the AppSec/DevSecOps program roadmap across engineering, defining the strategy for embedding security into the SDLC through shift-left practices, paved roads, and automation rather than gates Design, build, and maintain DevSecOps tooling in Kubernetes and Google Cloud Platform (GCP), including support for AI/ML workloads Lead the integration of security into CI/CD pipelines — code scanning, secret detection, software composition analysis, and infrastructure policy enforcement — partnering with engineering teams to adopt them without friction Deliver capabilities such as hardened service templates, secure service catalogs, and guardrails that reduce developer cognitive load and risk across the organization Set the security architecture direction for AI/ML workflows, implementing controls around model training, deployment, and inference pipelines, including access control, artifact validation, input/output sanitization, and model provenance tracking Partner with CorpSec on company security and compliance initiatives, owning the engineering side of the
requirements by designing and implementing controls for SOC 2 and ISO27001 audit readiness, as well as improving tooling around BCDR, infrastructure policies, and service inventory accuracy Provide technical leadership and mentorship, raising the security bar through design reviews, threat modeling, and pragmatic guidance to engineers across all teams Participate in a shared on-call rotation with the Infrastructure and SRE teams, supporting production uptime and security incident response readiness What You’ll Bring: 10+ years of experience in Security Engineering, DevSecOps, SRE, or related roles, with a track record of leading security initiatives that span multiple teams Deep expertise securing Kubernetes environments, including container images, network policies, and supply chain protections (e.g., Helm, Crossplane) Strong experience with Application Security tooling — dependency scanning, static analysis, and policy enforcement — integrated into CI/CD pipelines such as GitHub Actions and ArgoCD, and the ability to bridge engineering practices with Security Operations Strong understanding of attacker tactics, techniques, and procedures (TTPs), and familiarity with frameworks like MITRE ATT&CK Strong grasp of cloud services (GCP preferred), especially securing data pipelines, model hosting endpoints, and related infrastructure Proficiency with Infrastructure-as-Code (Terraform, Crossplane, or similar) and security scanning for cloud resources Proficiency with scripting and automation (e.g., Python, Bash) The ability to thoughtfully participate in technical discussions and drive towards data-driven decisions amidst ambiguity and competing priorities Strong communication skills and empathy for developer needs, with a demonstrated ability to embed secure practices without creating friction What Sets You Apart: Experience building or scaling an AppSec or DevSecOps program from early maturity, including establishing paved roads and measuring adoption Familiarity with commercial security platforms such as Orca Security (CNAPP/cloud security posture) and Aikido Security (application security scanning) is a plus Experience securing ML toolchains (e.g., TensorFlow, PyTorch) and familiarity with AI-specific threats such as data leakage, model inversion, prompt injection, and adversarial inputs Hands-on experience integrating and managing Web Application Firewalls (WAF), anti-DDoS systems, and edge protection technologies Familiarity with monitoring and observability systems (e.g., Prometheus, Grafana, OpenTelemetry) with a focus on detecting security anomalies Familiarity with AI governance and compliance standards (e.g., EU AI Act, NIST AI Risk Management Framework) Strong interest in harnessing AI and LLM tools as a force multiplier — using them to code smarter, iterate faster, boosting productivity and enhancing product capabilities For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $198,000 USD – $233,000 USD, plus
bonus eligibility and equity. For all other US locations, the expected salary range for this position is $172,000 USD – $216,000 USD, plus
bonus eligibility and equity. Job level and actual
compensation will be decided based on factors including, but not limited to, individual
qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information. Censys offers a competitive
benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness
benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual
bonus plan for eligible non-sales roles. Censys’s
compensation and
benefits are subject to change and may be modified in the future. Please see our careers page for more details. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other
benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy . Our roots are in Ann Arbor, Michigan and our innovation is fueled by
the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer . #LI-DNI Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team. California Privacy Rights Notice Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy .
