
51 - 200 employees
Founded 1986
🎯 Recruiter
🤝 B2B
Recruitment • B2B • Staffing
A. C. Coy Company is a specialized recruitment agency based in Pittsburgh, PA, that focuses on connecting professionals with job opportunities in IT, engineering, finance, and sales. Since its inception in 1986, the company has been committed to acting in the best interests of clients and candidates, offering contract, contract-to-hire, and permanent placement services. A. C. Coy aims to make successful career designs possible for job seekers while providing top talent to businesses across the Tri-State area and beyond.
🕒 May 5
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51 - 200 employees
Founded 1986
🎯 Recruiter
🤝 B2B
Recruitment • B2B • Staffing
A. C. Coy Company is a specialized recruitment agency based in Pittsburgh, PA, that focuses on connecting professionals with job opportunities in IT, engineering, finance, and sales. Since its inception in 1986, the company has been committed to acting in the best interests of clients and candidates, offering contract, contract-to-hire, and permanent placement services. A. C. Coy aims to make successful career designs possible for job seekers while providing top talent to businesses across the Tri-State area and beyond.
• Lead the evolution of the software delivery lifecycle by embedding security into every stage of the CI/CD pipeline • Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule-based tools miss • Design security frameworks for the end-to-end AI lifecycle, including securing data ingestion, protecting model weights, and implementing 'Guardrail' architectures for Large Language Models (LLMs) • Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams • Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments • Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning • Create self-service security tools and 'Golden Paths' that allow developers to deploy securely without friction, fostering a proactive security culture • Achieve 90% automated security coverage across all production-bound code • Utilize AI to reduce vulnerability remediation time by 40% within the first year
• A degree from an accredited College/University in the applicable field of services is required • 10+ years of overall IT experience, with 5+ years dedicated to DevSecOps leadership in high-scale environments • Proven track record of implementing AI/ML to solve operational or security challenges • Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP) • Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins • Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs • Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts • Deep knowledge of eBPF, Prometheus, and AI-powered logging/monitoring tools (e.g., Dynatrace or Datadog) • Strong ability to bridge the gap between 'Speed of DevOps' and 'Rigors of Security' while communicating clearly with executive leadership • Excellent communication skills
• Must be able to pass a drug screening, criminal history, and credit checks • Must be a US Citizen or have permanent residence status (Green Card) • Must be able to obtain a Position of Public Trust Clearance
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