About this role
We are seeking a hands-on DevSecOps/AI Security Engineer to embed security through our SDLC, cloud platforms, and machine learning pipelines. You will integrate and automate security controls in continuous integration and continuous delivery pipelines. Harden cloud and containerized environments and secure AI/ML systems across the full lifecycle, from data ingestion to inference.
Review and triage findings from code, dependency, and infrastructure scans; drive remediation with software engineer teams. Perform secure code reviews for high risk changes, focusing on authentication, authorization, input validation, crypto, and secrets handling. Continuously validate cloud posture on Azure/AWS against guardrails using CSPM/Policy-as-Code.
Harden containers by enforcing admission controls, image provenance, runtime policies, and least-privilege service accounts. Test AI systems daily for adversarial risks like prompt injection, data poisoning, model theft, and jailbreaks. Partner closely with software engineers, IT operations, and market segment leadership to reduce risk while maintaining delivery velocity.
Validate privacy and compliance in AI use cases with PII masking, DLP, and consent flags. Flexible hybrid-remote work schedule available after 30 days of employment. Excellent benefits package includes medical, dental, 401(k), performance bonuses, employee stock program, and various Employee Resource Groups for development and wellness.
Requirements
- 5+ years of experience with cloud platform services and DevSecOps practices
- Experience securing Azure/AWS cloud environments and implementing CSPM/Policy-as-Code
- Proficiency in container security including admission controls, image provenance, and runtime policies
- Knowledge of AI/ML security across lifecycle including adversarial testing and privacy compliance
- Expertise in secrets management (KMS, vaults) and eliminating hardcoded credentials
- Ability to investigate alerts, perform root cause analysis, and document playbooks
- EC-Council Certified DevSecOps Engineer (highly desired)
- ISACA Advanced AI Security Management (highly desired)
Responsibilities
- Review and triage findings from code, dependency, and infrastructure scans; drive remediation with software engineer teams and track to closure
- Perform secure code reviews for high risk changes, focusing on authentication, authorization, input validation, crypto, and secrets handling
- Continuously validate cloud posture (Azure/AWS) against guardrails (CSPM/Policy-as-Code); open tickets for misconfigurations and follow through
- Harden containers: enforce admission controls, image provenance, runtime policies, and least-privilege service accounts
- Test AI systems for adversarial risks daily (prompt injection, data poisoning indicators, model theft, jailbreaks, indirect prompt attacks)
- Validate privacy & compliance in AI use cases (PII masking, DLP, consent flags) and enforce policy in pipelines and serving layers
- Rotate and validate secrets in code, pipelines, and model infra (KMS, vaults); eliminate hardcoded credentials and enforce short lived tokens
- Tune detections for DevSecOps and AI signals (SIEM/SOAR rules for code repositories, registries, pipelines, model endpoints)
Benefits
- Medical, dental, vision, life insurance, short and long-term disability coverage
- Education reimbursement, 401(k), performance bonuses, and employee stock program
- Employee Resource Groups: Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion
- Professional Development, Leadership Development, Rotation Program, Mentor Program
- Sustainability Program and Wellness Program
- Flexible hybrid-remote work schedule available after 30 days of employment
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