SmarterDx

SmarterDx

Staff Security Engineer

Remote (United States) · Staff+

Sponsorship not specified$230k-$250kDetected 14 hours ago
TypeScriptPythonGoCode ReviewGitPostgreSQLAWSKubernetesTerraformHelmMachine LearningLLMsCybersecuritySIEMDetection EngineeringIncident ResponseComplianceHIPAAEHR/EMRPatient CareResearchCommunicationMentoring

About the role

  • SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered.

Responsibilities

  • Own our approach to AI and agentic security: guardrails for agentic access to cloud and data, and the security of the AI and ML workloads in our product.
  • Publish the org's AI-security standard and drive its adoption by other engineering teams.
  • Own incident-response readiness: the plan, the playbooks, and tested tabletops tied to the HIPAA breach-notification timeline, and help lead response when a real incident happens.
  • Lead complex security work across teams from start to finish, resolving ambiguity and coordinating with Platform, Engineering, and Compliance.
  • Build and grow security automation that gives a small team more reach, and contribute to the tooling the team runs on.
  • Take part in architecture reviews and threat modeling on our highest-risk designs, and communicate the resulting security architecture so the whole team can understand it and build on it.

Requirements

  • 8+ years in security and software engineering, with deep hands-on experience in AWS and cloud-native infrastructure, including working competence with containerized workloads (EKS) and infrastructure-as-code (Terraform).
  • A track record of leading complex security work across teams and making other engineers more effective.
  • Experience mentoring and leveling up other engineers.
  • Depth in threat detection engineering: designing, authoring, and tuning detections in a modern SIEM, and reasoning about coverage against real threats.
  • Incident-response experience, including building the plan and running the response.
  • The ability to write production code (Python, Go, or TypeScript) and build security tooling, not only configure products.
  • Strong writing and communication
  • you can publish a standard other teams adopt and explain a hard design to a non-security audience.
  • Working knowledge of SOC 2 and HIPAA, and the judgment to design controls that hold up without stalling delivery.
  • Nice To Haves
  • Recognized AI-security work: published standards or research, contributions to AI-security tooling, or red-teaming of AI/LLM systems.
  • Startup experience, especially in health tech or another regulated, data-sensitive environment.
  • Deeper specialization in container security (Kubernetes/EKS, Helm) or in infrastructure-as-code and policy-as-code, beyond working competence.

Nice to have

  • This role is our senior technical anchor for the two areas where we most need depth as the team grows: AI security and threat detection and response.
  • securing LLM applications, agentic frameworks, and MCP, plus prompt-injection and agentic-access defenses.
  • Depth in AI and agentic security: securing LLM applications, agentic frameworks, and MCP, plus prompt-injection and agentic-access defenses.

Skills

  • AWS, Kubernetes (EKS), Terraform, Postgres

Compensation

  • $230k to 250k base salary

Benefits

  • Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
  • Paid Parental Leave -
  • Unlimited PTO & 10 Holidays - So you can relax and recharge.
  • 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match.
  • As a Smartian, you'll help build technology that makes healthcare more accurate, sustainable, and effective for everyone.
  • Own our detection platform (Panther): detection strategy and coverage across cloud, container, and SaaS log sources, and the standards that keep detections high-signal as we grow.
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This listing is sourced directly from SmarterDx's careers page and normalized into a canonical job model.