Benevity Benefits Overview

Build and operate production ML and GenAI systems, including data pipelines, model serving, RAG applications, agents, evaluation frameworks, guardrails, monitoring, and MLOps practices. Translate business needs into technical plans, optimize performance and cost, conduct design and code reviews, troubleshoot pipelines, and mentor engineers while collaborating with product managers, data scientists, and engineering leaders.

Designs and implements secure architectures across applications, infrastructure, cloud environments, and operations. Conducts threat modeling, risk assessments, architecture reviews, and vendor security reviews; develops security standards and controls as code; supports incident response, monitoring, and compliance with NIST, ISO 27001, SOC 2, and GDPR. Partners with engineering, product, IT, DevOps, and compliance teams while mentoring technical staff and promoting secure development practices.

Designs and implements secure architectures across applications, infrastructure, cloud environments, and operations. Leads threat modeling, risk assessments, architecture reviews, security standards, compliance alignment, and security controls as code. Partners with engineering, product, DevOps, IT, and compliance teams to embed security into the SDLC, improve monitoring and incident response, evaluate security tools and vendors, and mentor technical teams. Requires expertise in cloud security, IAM, encryption, containers, infrastructure as code, DevSecOps, and security frameworks.