Senior Security Engineer

1 month, 3 weeks ago
Senior
Cybersecurity
Eleos

Eleos

Eleos Health offers the CareOps Automation platform, using AI to automate behavioral health documentation, compliance, and session analysis. Their solution reduces provider burnout and enhances care quality by streamlining operational tasks and providi...

IT Services
51-250
Founded 2020
$28M raised

Description

  • Act as a security architect for new initiatives by joining design reviews and shaping secure-by-default architectures.
  • Partner closely with R&D and engineering teams to translate security requirements into engineering decisions and risk trade-offs.
  • Own security across the company’s multi-cloud environment, including AWS, GCP, and Azure.
  • Design and implement controls for identity, network, workload, and data protection across cloud environments.
  • Drive AI security efforts for LLM and ML systems, including threats such as prompt injection, model abuse, and tool-use exposure.
  • Lead data security initiatives such as classification, encryption, key management, DLP, access governance, and data-flow mapping.
  • Evaluate, prototype, and implement new security technologies and tooling end to end.
  • Write code to automate controls, build internal tools, improve detections, and integrate security into CI/CD.

Requirements

  • 5+ years of experience in security engineering, application security, or cloud security with hands-on technical responsibility.
  • Strong software development background with experience shipping production code and reading code fluently.
  • Deep experience securing multi-cloud environments, including IAM, networking, workload security, and infrastructure-as-code.
  • Architect-level systems thinking with the ability to identify trust boundaries, blast radius, failure modes, and key controls.
  • Hands-on experience with data security at scale, including classification, encryption, key management, and access controls.
  • Demonstrated experience introducing and operationalizing new security technologies rather than only maintaining existing ones.
  • Comfort working closely with engineering teams in design reviews and code reviews.
  • Direct experience with AI/ML security, including securing LLM applications, agentic systems, model deployments, or AI infrastructure (preferred).

Interested in this position?

Apply directly on the company website

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