Senior Director, Engineering [DevSecMLOps]

About the Role

Key Responsibilities

• Lead and scale Infrastructure, Security, DevOps, and Data Engineering teams under a unified vision.
• Define and execute the roadmap for AI/ML platform engineering, MLOps, and secure data infrastructure.
• Partner with the VP of Data and Foundations to align engineering efforts with business and product goals.
• Establish and champion DevSecMLOps best practices, ensuring automation, security, and scalability across AI and data pipelines.
• Architect and manage secure, scalable, and resilient cloud-based AI/ML platforms (AWS, GCP, or Azure).
• Build and optimize data engineering pipelines for ingestion, transformation, and access for AI models.
• Drive adoption of MLOps tools and frameworks (Kubeflow, MLflow, Airflow) for streamlined AI deployment.
• Develop and implement real-time and batch AI/ML processing capabilities.
• Ensure AI/ML and data platforms are secure, compliant, and resilient against threats.
• Embed security automation into the software development lifecycle (DevSecOps).
• Establish infrastructure-as-code (IaC) and cloud-native architecture best practices.
• Optimize cost, performance, and reliability of cloud and on-prem infrastructure.
• Build and lead a high-performing DevSecMLOps engineering team, hiring, mentoring, and developing talent.
• Foster a culture of collaboration, innovation, and continuous improvement.
• Implement best practices for observability, monitoring, and incident response in AI/ML pipelines and infrastructure.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
• 15+ years of experience in software engineering, data engineering, infrastructure, or security.
• 10+ years of leadership experience, building and scaling engineering teams.
• Proven expertise in AI/ML, MLOps, Data Engineering, and Security best practices.
• Deep knowledge of cloud infrastructure (AWS, GCP, Azure) and modern DevOps practices (Kubernetes, Docker, Terraform).
• Experience with secure AI/ML deployment, model monitoring, and governance.
• Strong background in automating infrastructure, CI/CD, and security frameworks.
• Excellent leadership, communication, and stakeholder management skills.

Nice to Have

• Deep understanding of cutting-edge technologies and engineering practices relevant to our industry.
• Expertise in Startups, AI/ML/Data Interoperability.
• Experience in healthcare or regulated industries.
• Familiarity with Feature Stores, Model Registry, and Data Governance frameworks.
• Prior exposure to serverless architectures and cost-efficient compute scaling strategies.
• Proven experience in developing scalable systems and driving innovation.
• Knowledge of industry trends, emerging technologies, and market dynamics.
• Experience collaborating with cross-functional teams including product management, marketing, and sales.

Qualifications

• Educational background in Engineering, Computer Science, or a related field.
• Extensive experience in software and data engineering, infrastructure, or security roles.
• Leadership experience in building and scaling engineering teams.

Benefits & Perks

• Multiple group medical, dental and vision plans to choose from.
• 401(k) plan, group life, AD&D, FSA/HSA.
• Employer paid STD/LTD.
• Take-What-You-Need vacation time, accrued paid sick time.
• 11 paid holidays (7 for Pharmacy and Care teams).
• 8 weeks paid parental leave for eligible employees.