Wade Trim
IT
DevSecOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“DevSecOps Engineer at Wade Trim. Skills: DevSecOps, AI Security, SDLC, cloud platforms, machine learning pipelines, CI/CD, cloud security, container security, AI/ML security. Integrate and automate security controls in continuous integration and continuous delivery pipelines. Harden cloud and containerized environments”
What You'll Achieve.
reduce risk while maintaining delivery velocity
Industry & Context.
solving complex engineering challenges; reduce risk; perform root cause analysis
What They're Looking For.
Must Have
5+ years of experience with cloud platform services and DevSecOps practices, organizational skills and attention to detail, Must be able to communicate effectively with cross-functional teams, Ability to manage multiple projects and deadlines, Ability to work independently and as part of a team in a fast-paced environment
Nice to Have
EC-Council Certified DevSecOps Engineer, ISACA Advanced AI Security Management
What You'll Do.
Integrate and automate security controls in continuous integration and continuous delivery pipelines, Harden cloud and containerized environments, Secure AI/ML systems across the full lifecycle, from data ingestion and training to model development and inference, Review and triage findings from code, dependency, and infrastructure 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, Review access patterns (human and service principals) for AI training/inference ensure least privilege and conditional access, Tune detections for DevSecOps and AI signals (SIEM/SOAR rules for code repositories, registries, pipelines, model endpoints), Investigate alerts rapidly, perform root cause analysis, and document playbook steps/improvements, Update runbooks and security guidelines (secure coding, AI model handling, data privacy) as changes land, Log evidence for controls (scan results, approvals, sign-offs) to support audits (SOC 2, ISO 27001, HIPAA, etc. )
How You'll Work.
Team & Collaboration
Closely partners with software engineers, IT operations and market segment leadership to reduce risk while maintaining delivery velocity; communicate effectively with cross-functional teams; work independently and as part of a team; Frequent interaction among staff is encouraged; collaborative culture
Communication Scope
Must be able to communicate effectively with cross-functional teams
Process & Methodology
Ability to manage multiple projects and deadlines
Full Job Description
## Description What We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program. Position Description: 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 and training to model development and inference. This role closely partners with software engineers, IT operations and market segment leadership to reduce risk while maintaining delivery velocity. A flexible hybrid-remote work schedule is available after 30 days of employment. ## Typical responsibilities include SECURE SDLC & CI/CD •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. CLOUD & CONTAINER SECURITY •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. AI/ML SECURITY •Test AI systems for adversarial risks daily (prompt injection, data poisoning indicators, model theft, jailbreaks, indirect prompt attacks). •Validate pri
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