Application Security Analyst

Role Overview & Responsibilities

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

Candidate Privacy Notice