Senior Applications Security Engineer, AI & Automation Development

This is a fully remote position, open to applicants in Missouri.

📋 Description

• Develop, secure, and enhance automation, AI, and development capabilities across Security Defense Technologies.

• Design, create, test, and maintain automation, integrations, and self-service tools for SDT technology teams.

• Establish AI-driven capabilities for the AI Ops initiative, which includes models and agents to monitor security tool health metrics, adjust thresholds, identify incident trends, assist in troubleshooting, and provide natural language access to health data.

• Deploy, manage, and troubleshoot containerized workloads within the team's Kubernetes environment.

• Implement secure development practices throughout the SSDLC, involving threat modeling, secure code review, authentication and authorization, secrets management, logging, and vulnerability remediation.

• Assist in defining and promoting CI/CD, source control, testing, and automation standards for SDT.

• Document solutions, create runbooks, share knowledge with fellow engineers, and support services during production.

• Carry out additional duties as assigned.

• Adhere to all policies and standards.

⛳️ Requirements

• Must possess authorization to work in the U.S. without the need for employment-based visa sponsorship, now or in the future.

• Bachelor's degree in a quantitative or business-related field (such as statistics, mathematics, engineering, or computer science) or equivalent experience gained through relevant knowledge, duties, scope, and skills.

• Requires 4–6 years of relevant experience.

• Practical software development experience in building production automation, APIs, and integrations.

• Proficient in Python programming.

• Hands-on experience in developing AI/ML or LLM-based solutions, including agents, retrieval-augmented generation, tool calling, anomaly detection, or model evaluation.

• Practical experience in deploying, managing, and troubleshooting workloads on Kubernetes.

• Knowledge of Git, CI/CD pipelines, and infrastructure or configuration as code.

• Experience in a security, SRE, or DevSecOps setting is preferred.

• CISSP certification is a plus but not mandatory.

• Intermediate knowledge in the area of specialty.

• Ability to identify basic problems and procedural inconsistencies, gather data, establish facts, and draw valid conclusions.

• Capacity to work independently.

• Proven analytical skills.

• Demonstrated project management capabilities.

• Consistently high level of accuracy, even under pressure.

• Proven excellent judgment and decision-making abilities.

🏝️ Benefits

• Competitive salary.

• Health insurance coverage.

• 401K plan.

• Stock purchase options.

• Tuition reimbursement assistance.

• Paid time off, in addition to holidays.

• Flexible work arrangements, including remote, hybrid, field, or office schedules.

• Additional forms of incentives may be included in total compensation.