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The Security Engineer serves as the technical bridge between the security policy team and development operations, ensuring that security principles are not only defined but effectively implemented. Embedded within development teams, this role writes code, configures systems, and operationalizes security controls across applications, databases, and AI systems. As a key contributor to the organization’s Agentic AI platform transformation, the Security Engineer will design and embed secure-by-design practices, enabling innovation while maintaining the highest standards of data protection and compliance.
THE JOB RESPONSIBILITIES INCLUDE
- Bridge security policy and technical execution by translating organizational security requirements into practical, deployable solutions across applications, data environments, and AI systems.
- Design, build, and deploy security controls across web applications, data pipelines, APIs, and Agentic AI systems to ensure confidentiality, integrity, and availability.
- Implement secure-by-design practices throughout the software development lifecycle, including code-level remediations, configuration hardening, and secure infrastructure deployment.
- Develop automation scripts and infrastructure-as-code to integrate security into CI/CD pipelines, enabling continuous compliance, secrets management, vulnerability scanning, and environment hardening.
- Implement and operationalize AI-specific security frameworks by building guardrails for agentic models, securing data flows, and integrating AI security tooling into development workflows.
- Perform hands-on technical security assessments, including penetration testing, threat modeling, and code reviews, and directly remediate identified vulnerabilities.
- Collaborate with cloud and DevOps teams to deploy monitoring and detection controls and ensure secure configuration baselines across environments.
- Provide practical security guidance and training to developers and engineers during architecture reviews, sprint planning, and project delivery.
- Continuously evaluate and improve the organization’s security posture through testing, feedback loops, and adoption of emerging best practices for AI and distributed systems.
- Document security architectures, configurations, and implementation patterns to support ongoing operations, compliance, and knowledge sharing.
- Other duties as required
REQUIREMENTS AND QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Security, Engineering, or a related technical field required
- 3+ years in hands-on application security, DevSecOps, or security engineering roles.
- Proven experience building and configuring secure CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
- Equivalent combination of education and experience will be considered.
- Deep proficiency with cloud security in AWS, Azure, or GCP environments.
- Strong implementation experience with infrastructure as code (Terraform, CloudFormation) and container security (Docker, Kubernetes).
- Strong scripting and automation skills (Python, Bash, PowerShell) for security tooling.
- Versatility across web/API security, data pipeline security, microservices, and database security.
- Understanding of security frameworks (NIST, ISO 27001, SOC 2) and compliance requirements (GDPR, HIPAA, PCI-DSS).
- Hands-on experience deploying and configuring security scanning tools (SAST, DAST, SCA).
- Excellent communication skills—ability to translate security requirements into working technical implementations.
- Experience working embedded within cross-functional development teams.
- Proven track record of hands-on problem-solving in fast-paced development environments
- Regular and predictable attendance
- Must have strong computer proficiency and understand how to use basic office applications, including MS Office (Word, Excel, and Outlook)
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions.
SPECIAL CONSIDERATIONS & PREREQUISITES
- Practices and adheres to EnableComp’s Core Values, Vision and Mission
- Hands-on experience with AI/ML security, model security, and data governance
- Technical knowledge of LLM security, prompt injection prevention, and AI agent safety
- Security certifications (CISSP, CEH, OSCP, CSSLP, or cloud security certifications)
- Strong coding background in Python, Go, or similar languages.
- Background in software development or engineering transitioning to security.
- Direct experience implementing secrets management solutions (HashiCorp Vault, AWS Secrets Manager).
- Practical experience with zero trust architecture implementation.
- Familiarity with data security, ETL processes, and data warehouse security.
- Experience with microservices architectures and distributed systems security
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EnableComp
View Company ProfileEnableComp is a specialized healthcare technology and Revenue Cycle Management (RCM) company dedicated to maximizing reimbursements for the most complex clinical claims. Founded in 2000 and headquartered in Franklin, Tennessee, the company has built its reputation by solving the toughest billing challenges that traditional systems cannot crack, such as Workers' Compensation, Veterans Administration (VA), Motor Vehicle Accident (MVA) claims, and complex clinical denials. Under the hood, EnableComp is powered by its proprietary e360 RCM® platform, which leverages rules-based automation, machine learning, and agentic AI—collectively known as Complex Revenue Intelligence™ (CRI). This robust infrastructure predicts and prevents revenue loss, automates denial management, and seamlessly integrates with existing hospital systems to ensure maximum revenue capture. Their primary target audience spans major hospitals, health systems, and specialized healthcare providers who struggle with the administrative burden and financial leakage caused by intricate third-party payer policies. What sets EnableComp apart in the massive HealthTech space is its laser focus on extreme regulatory complexity and its massive data advantage, enabling over 1,000 healthcare facilities to successfully recover more than $3 billion annually and achieve up to a 20% uplift in cash flow.
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