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Recursion

Data-driven drug discovery platform leveraging datasets

Senior Engineer - Exposure & Vulnerability Management

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
  • At least 7 years of experience in vulnerability management, exposure management, or related information security domains, including leading large-scale programs from strategy through execution in cloud-first and hybrid environments.
  • Deep understanding of security principles and a track record of turning vulnerability data into prioritized, owned, and verified remediation.
  • Hands-on experience building or deploying AI/LLM-based agents or multi-agent systems for security or engineering workflows, including orchestration, tool use, and evaluation.
  • Working knowledge of approval workflows, audit logging, and rollback controls for automated remediation, and of the risks of agent-driven changes.
  • Proficiency in one or more programming languages such as Python, Go, or Java, and strong scripting skills for automation and integration.
  • Expert-level experience with vulnerability and exposure management platforms such as Tenable, Qualys, or Rapid7, and with CTEM, attack surface management, and attack-path analysis tooling.
  • Strong command of risk-based prioritization, including CVSS, EPSS, CISA KEV, reachability analysis, and threat intelligence feeds.
  • Experience with cloud platforms such as AWS, Azure, or GCP; container and Kubernetes security; and Infrastructure-as-Code such as Terraform or CloudFormation for automated remediation.
  • Experience with CI/CD pipelines, SCA/SAST tooling, and software supply chain security, including SBOMs and dependency mapping.
  • Knowledge of operating systems including UNIX/Linux, macOS, and Windows; networking; and database management systems.
  • Experience with risk management, ensuring solutions align with organizational risk tolerance and compliance requirements such as SOC2 or GxP.

Responsibilities

  • Design and deploy multi-agent systems that take exposures from discovery to closure by analyzing them from the outside in, mapping dependencies from the inside out, generating patches or Infrastructure-as-Code updates, and validating results; build approval gates, audit trails, and rollback so automated changes receive review appropriate to their risk.
  • Build engines that prioritize exposures using real-time reachability, attack-path context, business criticality, and live exploit intelligence rather than static CVSS scores.
  • Automate verification to distinguish theoretical flaws from actively exploitable conditions and help engineering and DevOps teams focus on consequential issues.
  • Drive the Continuous Threat Exposure Management strategy, shifting the organization from periodic scans to a proactive, around-the-clock security posture across products, platforms, cloud and on-premise infrastructure, and corporate applications.
  • Assess and revamp the exposure and vulnerability management program to accelerate business outcomes and support the broader zero-trust security approach.
  • Architect cloud-native discovery, asset-inventory, and remediation workflows, integrating them with ticketing, CI/CD, and configuration management so fixes reach owners and ship without manual hand-offs.
  • Partner with Engineering and IT to embed secure-by-default practices into product and application development, deployment, and patching, matching remediation timelines to real risk.
  • Define KPIs, KCIs, and KRIs, such as mean time to remediate, exploitable-exposure backlog, and coverage of critical assets, to measure control effectiveness and guide continuous improvement.
  • Support regulatory compliance by working with partner teams to design exposure and vulnerability controls that meet standards such as SOC2.

Desired Qualifications

  • Relevant security certifications such as CISSP, OSCP, or GWAPT.

About the Company

Recursion

Data-driven drug discovery platform leveraging datasets

Recursion uses a data-driven platform to speed up drug discovery in TechBio by combining large biological and patient datasets with wet-lab experiments. It runs tens of thousands of experiments weekly to profile genes and compounds across many cell types, and processes results on its BioHive 1 supercomputer to map billions of gene–compound relationships. This approach lets Recursion identify potential drug candidates by turning experimental data into actionable insights, and it collaborates through strategic partnerships with pharma companies, labs, and healthcare providers rather than pursuing traditional in-house discovery alone. Its goal is to decode biology at scale and translate findings into new medicines that help patients.

Company size
501-1,000
Company stage
IPO
Headquarters
Salt Lake City, UT
Founded
2013

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