Assorthealth
Security Engineer, Detection & Response
San Francisco, Remote. Posted 2 months ago
The role
You will build and operate detection and response capabilities including monitoring, triage, investigation, and remediation. You will partner with engineering and product teams to embed security into systems and support SOC 2 efforts.
What you will do
- Build and operate detection and response capabilities
- Perform continuous monitoring, triage, investigation, containment, and remediation
- Build and maintain incident playbooks, on-call paths, and tabletop exercises
- Improve detection quality and coverage by partnering with engineering teams
- Embed detection and response into company systems by design
- Collaborate with internal stakeholders to implement security projects
- Assist with security efforts related to SOC 2
- Evaluate and implement detection and response tooling
- Perform hands-on technical work, scripting, and automation
Required qualifications
- 2 to 4 years of relevant experience
- Experience in detection engineering, incident response, and/or security operations
- Background in modern observability stacks (e.g., SIEM, EDR, cloud telemetry, logging) and detection primitives
- Growing understanding of modern adversary tradecraft (TTPs)
- Ability to perform technical security work such as reviewing telemetry and assessing infrastructure
- Ability to support security automation through scripting
- Familiarity with environments that rely on modern cloud and SaaS tooling
Nice to have
- Experience in a startup or similarly fast-growth environment
Benefits
- Competitive Compensation including salary and employee stock options
- Annual budget for professional development and training opportunities
- Office Setup Stipend
- Medical, dental, and vision insurance
- Flexible PTO
- Lunch, dinner, and snack breaks
- Monthly fitness membership reimbursement
- Commuter Benefits
- 401(k)
About the company
Assort Health is building an AI agent to create one continuous conversation for every patient. The company has raised $222 million and is scaling its proprietary specialty healthcare dataset.