Mid-Level Security Engineer

Halvik is seeking a Mid-Level Security Engineer to support enterprise AI governance, data discovery and classification, and AI security within a federal agency's hybrid environment. Based in Alexandria, VA with a hybrid work arrangement, the role combines on-site collaboration with remote tasks to manage policy-driven data management across cloud, on-premises, SaaS, and developer repositories. The position carries a salary range of USD 100,000 - 115,000 per year.

Responsibilities

• Set up and maintain data discovery and classification rules across cloud, on-premises, SaaS, and developer repositories, with prioritized rollout to high-risk systems.
• Oversee AI content governance by monitoring prompts, outputs, and related signals for sensitive exposure, enforcing approved actions (allow, block, alert, redact, route) per governance policies.
• Assist in detecting and labeling sensitive content within AI-native artifacts such as Markdown prompt files, cursor rules, GitHub Copilot guidance, and MCP configuration files.
• Collaborate with the Lead Senior Security Engineer, stakeholders, and program teams to support deployment tasks, testing, and validation activities.
• Maintain operational dashboards and compliance reports, track exceptions and remediation status, and contribute to audit-ready governance documentation.
• Support vulnerability scanning and detection across code, containers, and infrastructure-as-code templates, including potential security issues introduced by AI components or data pipelines feeding AI models.

Requirements

• Bachelor's degree in Computer Science, Information Security, or a related field. A Master's degree with at least 3 years of relevant experience, or an equivalent combination of education and experience (9+ years) may be considered in lieu of a degree.
• Minimum of 5 years of professional experience in cybersecurity, IT security operations, or data security/DLP support, preferably within a Federal environment.
• Working knowledge of data classification or DLP tooling, cloud platforms such as AWS or Azure, and basic SIEM/log monitoring concepts.
• Familiarity with NIST SP 800-53, FISMA, and the Risk Management Framework (RMF).
• Current CISSP certification, if required.
• Ability to obtain and maintain a Public Trust security clearance.

Technologies

• AWS
• Azure
• GitHub Copilot
• Markdown

Benefits

• Company-sponsored medical, dental, vision, life insurance, plus short-term and long-term disability coverage
• 11 federal holidays and paid time off
• Performance-based incentives
• 401(k) with company matching
• Flexible Spending Accounts for commuter, medical, and dependent care expenses
• Tuition assistance
• Charitable contribution matching

Preferred Expertise

• Prior experience supporting a Federal contract or Federal agency IT security program
• Exposure to generative AI tools, prompt engineering practices, or AI development workflows
• Familiarity with Agile/Scrum team environments
• Strong attention to detail and willingness to grow into an AI governance or data security specialization
• Solid analytical and problem-solving capabilities with clear written communication
• Ability to work collaboratively with others and contribute to a team environment