Job Description:Roles and Responsibilities- Design, build, and maintain AI-enabled security solutions that automate vulnerability triage, enrichment, prioritization, and ticket routing.
- Use AI-assisted development ("vibe coding") and modern engineering practices to rapidly prototype security tools, then harden them for production use.
- Build automation workflows and integrations across scanners, cloud control planes, CI/CD pipelines, ticketing systems such as Azure DevOps, and SIEM and SOAR platforms.
- Develop cloud security posture management capabilities, including automated misconfiguration detection, policy-as-code, drift remediation, and guardrails for multi-cloud environments.
- Embed security into DevSecOps pipelines through automated SAST, DAST, SCA, secrets detection, container and infrastructure-as-code scanning, and AI-assisted code review and fix suggestions.
- Engineer AI solutions for risk management, such as evidence collection, control testing, risk register enrichment, and automated assessment support.
- Build security dashboards and metrics pipelines that give leadership and practitioners accurate, timely views of posture, backlog, remediation performance, and risk trends.
- Design human-in-the-loop controls, approval gates, and audit logging for automated and AI-driven actions, so that automation is safe, governed, and explainable.
- Evaluate and validate AI models, agents, and tools for accuracy, false-positive rates, cost, and security, and document their limitations.
- Apply secure coding and engineering practices to security tooling itself, including secrets management, least-privilege access, dependency hygiene, and testing.
- Produce clear technical documentation, runbooks, and knowledge articles so that solutions can be operated and handed off reliably.
- Partner with the security operations, governance, and IT teams to identify manual processes that are good candidates for automation and deliver them iteratively.
Skills and Attributes for Success- Strong programming skills in Python and PowerShell, with working knowledge of JavaScript or TypeScript and familiarity with infrastructure-as-code tools such as Terraform or Bicep.
- Practical experience using AI-assisted coding tools and LLM APIs, with an understanding of prompt design, evaluation, and the limits of model output.
- Experience building API integrations and event-driven automation, including REST APIs, webhooks, and message queues.
- Working knowledge of cloud security posture management and cloud platforms, particularly Azure and Microsoft 365, with exposure to AWS or Google Cloud Platform.
- Familiarity with DevSecOps tooling and CI/CD platforms such as Azure DevOps, GitHub Actions, or GitLab.
- Understanding of vulnerability management, threat intelligence, and risk frameworks such as NIST CSF, NIST AI RMF, and CIS Benchmarks.
- Ability to design dashboards and metrics using tools such as Power BI, Kusto (KQL), or similar platforms.
- Strong problem-solving skills, a bias toward action, and comfort turning ambiguous security problems into working solutions.
- Clear communication skills, with the ability to explain technical designs to both engineers and non-technical stakeholders.
Requirements- Bachelor's degree in computer science, Information Systems, Engineering, or a similar discipline, or equivalent experience.
- Minimum of 3 years of experience in security engineering, security automation, DevSecOps, or software engineering with a security focus.
- Demonstrated experience building automation or tooling that is in production use, ideally in a security context.
- Hands-on experience with at least one of: vulnerability management platforms, cloud security posture management tools, SAST/DAST/SCA tooling, or SIEM/SOAR platforms.
- Experience with Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, or equivalent platforms.
- Familiarity with Azure DevOps and Git-based version control workflows.
- Experience with AI or LLM application development, including retrieval-augmented generation, agent frameworks, or evaluation of model outputs, is strongly preferred.
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $132,400 - $245,800.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
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