About the role:
We are seeking an Application Security Analyst to build security into how we ship software, and to help our small but growing Information Security team with day-to-day work. This is a hands-on role. You will secure code, fix pipelines, manage security tools and requests and also help us stay ready for audits like PCI, HIPAA, and HITRUST.
You will work closely with engineering teams to embed security into development pipelines, implement testing and runtime protections, and ensure that AI/ML components are resilient against emerging threats.
This is a great fit for someone who likes both building and securing things, and who doesn't mind wearing more than one hat on a small team.
Key responsibilities:
- Perform application security assessments using SCA, SAST, Secrets management, and interactive testing tools
- Identify, triage, and prioritize vulnerabilities
- Integrate security testing into CI/CD pipelines (DevSecOps)
- Assess security risks in AI/ML-enabled applications, including model exposure and inference endpoints
- Secure AI APIs, plugins, and third-party integrations
- Tune security controls across technologies such as WAF, EDR, MDM, and cloud
- Conduct threat modeling and secure design reviews for applications and AI use cases
- Assess and harden identity and access flows ensuring least privilege
- Automate repetitive security tasks so the team can focus on higher-value work
- Partner with developers to remediate vulnerabilities and improve secure coding practices
- Monitor and respond to security incidents as part of an on-call rotation
What you'll need:
- Minimum of 2+ years of experience in Application Security or Product Security
- Hands-on experience with secure code scanning tools such as SCA and SAST
- Strong knowledge of OWASP Top 10 vulnerabilities
- Experience securing APIs and microservices
- Familiarity with CI/CD pipelines
- Basic understanding of AI/ML systems
- Cloud security experience
- Scripting skills (Python, Bash)
- Good communication skills — you'll work with engineers, and sometimes explain things to non-technical people
- A security mindset: you think about how things can break, not just how to make them work
Preferred Qualifications:
- Experience with ML frameworks is a plus
- Familiarity with AI threat models
- Experience with WAF or API security solutions
- Strong coding skills in at least one language (Python, Bash, or similar)
- Experience in ecommerce, healthcare or another highly regulated industry
Note for Current Employees:
Please use the internal job board in Greenhouse to apply. Applications submitted through this external link will not be tagged as internal.
Compensation, Benefits, & Additional Details:
Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range. Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression.
- Compensation: $75,000 - 95,000
- Discretionary Annual Bonus Eligibility: Up to 10%
- Medical, Dental, Vision, and 401K with a company match
- Dependent Care, FSA & HSA accounts
- Paid Parental & Bonding Leave
- Flexible PTO & office closure on all major holidays
- Monthly wellness & internet reimbursements
- Professional development including certification support & leadership coaching
- Mental Health resources
- 100% remote within the United States
- Must be able to work EST hours
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