DevSecOps Product Developer

About the role

We are seeking a highly skilled Data Scientist with a strong background in software deployment, platform engineering, and path-to-production strategies for data science applications. In this role, you will bridge the gap between data science development and enterprise IT infrastructure, ensuring that custom application models written in Python and R are smoothly, securely, and reliably deployed, monitored, and maintained in production. Location flexibility between Austin, TX or Fort Eustis, VA.

Responsibilities

• Path-to-Production Deployments: Architect, execute, and streamline path-to-production workflows for custom data science applications, interactive dashboards, and API models developed in Python and R.
• CI/CD & Automation: Partner closely with DevSecOps team to design, build, and maintain robust CI/CD pipelines to automate testing, build, and deployment processes for analytics projects.
• Application & Model Monitoring: Implement and maintain robust application monitoring, logging, and metrics tracking to observe runtime health, system resource utilization, latency, uptime, and model drift in production environments.
• Environment & Image Maintenance: Manage, build, and update custom container images and runtime environments to ensure reproducibility and consistency across development, staging, and production environments.
• Cybersecurity & Compliance: Partner closely with Cybersecurity and Governance teams to ensure all application deployments adhere to strict cybersecurity policies, vulnerability patching schedules, and enterprise compliance postures.
• Troubleshooting & Incident Response: Act as the primary technical point of contact for diagnosing, debugging, and resolving deployment, environment, performance bottlenecks, and runtime errors for live data science applications.
• Platform Management: Support and optimize modern data science platform tooling, enabling data science teams to seamlessly publish and monitor models, interactive dashboards, and reports.

Qualifications

• Active Secret clearance required.
• Strong background in software deployment, platform engineering, and path-to-production strategies for data science applications.
• Experience with Python and R for custom application models.
• Experience with CI/CD pipelines, DevSecOps practices.
• Knowledge of container image management and environment reproducibility.
• Familiarity with application monitoring, logging, metrics, model drift.
• Understanding of cybersecurity policies and compliance requirements.
• Ability to troubleshoot deployment and runtime issues.

Skills

• Python, R
• CI/CD pipeline design and implementation
• DevSecOps collaboration
• Containerization (Docker, etc.) and image management
• Application and model monitoring, logging, metrics
• Cybersecurity and compliance awareness
• Troubleshooting and incident response
• Platform tooling support

Benefits

• Attractive comprehensive benefit package including health and welfare plans and financial products.
• Referral bonus program.
• Various employee awards.
• Great Place to Work™ certification.
• Opportunities for career growth through training and development.

Pay

Target salary range: $100k - $130k. The estimate displayed represents the typical salary range for this position based on experience and other factors.