Autodesk
SeniorDevSecOpsEngineer(AI/MLSystems)
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“Senior DevSecOps Engineer (AI/ML Systems) at Autodesk. Skills: DevSecOps, AI/ML Security, Cloud Security, Automation. Build AI/ML platforms. Secure AI/ML platforms”
Industry & Context.
Root cause analysis; Vulnerability triage; Risk assessments
What They're Looking For.
Must Have
5+ years Security Engineering, 5+ years Application Security, 5+ years Security Operations, 5+ years DevSecOps roles, Experience with AWS, Experience with Azure, Experience with GCP, Experience with Docker, Experience with Kubernetes, Experience with cloud-native technologies, Understanding of SSDLC, Deep knowledge of Secure Coding Practices, Deep knowledge of OWASP Top 10, Deep knowledge of OWASP API Security Top 10, Deep knowledge of Threat Modeling, Deep knowledge of Vulnerability Management, Hands-on SAST experience, Hands-on DAST experience, Hands-on SCA experience, Hands-on Container Security experience, Hands-on Secrets Management experience, Experience automating workflows with Python, Experience automating workflows with Golang, Experience automating workflows with Bash, Experience automating workflows with TypeScript, Experience with CI/CD pipelines, Experience with Git-based development workflows, Experience designing security architectures, REST API experience, GraphQL API experience, Excellent communication skills, Stakeholder management skills
Nice to Have
Experience with AI/ML platforms, Experience securing Generative AI, Experience securing LLM applications, Experience securing AI agents, Experience securing RAG architectures, Knowledge of MITRE ATLAS, Knowledge of NIST AI Risk Management Framework, Knowledge of Responsible AI principles, Experience with Kubernetes security, Experience with cloud-native security platforms, Familiarity with SOC2 compliance, Familiarity with ISO 27001 compliance, Familiarity with NIST compliance, Familiarity with HIPAA compliance, Familiarity with GDPR compliance, Security certifications
What You'll Do.
Build AI/ML platforms
Secure AI/ML platforms
Scale AI/ML platforms
Integrate security into SDLC
Integrate security into ML lifecycle
Design secure cloud-native architectures
Automate security controls
Implement DevSecOps practices
Enable secure AI innovation
Design security controls for AI/ML platforms
Design security controls for model training pipelines
Design security controls for inference services
Design security controls for AI applications
Enable secure deployment of Generative AI
Enable secure deployment of LLM
Enable secure deployment of RAG
Enable secure deployment of agent-based systems
Enable secure operation of Generative AI
Enable secure operation of LLM
Enable secure operation of RAG
Enable secure operation of agent-based systems
Support model governance
Support AI risk management
Support responsible AI initiatives
Secure AI infrastructure
Secure Kubernetes clusters
Secure distributed training environments
Drive shift-left security practices
Integrate SAST into CI/CD
Integrate DAST into CI/CD
Integrate SCA into CI/CD
Integrate container security scanning into CI/CD
Integrate secrets detection into CI/CD
Develop automated security controls
Develop policy enforcement mechanisms
Build security tooling
Build security automation
Improve software supply chain security
Manage dependency management
Manage artifact validation
Build Infrastructure as Code
Maintain Infrastructure as Code
Secure AWS environments
Secure Azure environments
Secure GCP environments
Implement identity and access management
Implement secrets management
Implement Zero Trust principles
Conduct cloud security architecture reviews
Conduct risk assessments
Perform threat modeling
Perform security design reviews
Establish secure coding standards
Establish security best practices
Secure authentication services
Secure microservices architectures
Ensure alignment with OWASP Top 10
Ensure alignment with OWASP API Security standards
Manage vulnerability identification
Manage vulnerability triage
Manage vulnerability prioritization
Manage vulnerability remediation
Assess findings from Black Duck
Assess findings from Snyk
Assess findings from Trivy
Assess findings from SonarQube
Assess findings from Checkov
Partner with engineering teams to resolve security issues
Define security metrics
Define reporting mechanisms
Implement observability solutions
Implement security monitoring solutions
Support incident response
Support forensic investigations
Support root cause analysis
Develop security dashboards
Develop operational reporting
How You'll Work.
Team & Collaboration
Partner with AI/ML Engineers; Partner with Data Scientists; Partner with Platform Engineers; Partner with Security teams; Cross-functional teams
Communication Scope
Stakeholder management
Process & Methodology
CI/CD pipelines, Git-based development workflows
Full Job Description
**Job Requisition ID #** 26WD98448 **Position Overview** We are looking for a DevSecOps Engineer to help build, secure, and scale our AI/ML platforms and services. In this role, you will partner with AI/ML Engineers, Data Scientists, Platform Engineers, and Security teams to integrate security throughout the software and machine learning development lifecycle. You will be responsible for designing secure cloud-native architectures, automating security controls, implementing DevSecOps practices, and enabling secure AI innovation at scale. **Responsibilities** * AI/ML Platform Security * Design and implement security controls across AI/ML platforms, model training pipelines, inference services, and AI applications * Enable secure deployment and operation of Generative AI, LLM, RAG, and agent-based systems * Support model governance, AI risk management, and responsible AI initiatives * Secure AI infrastructure including GPU workloads, Kubernetes clusters, and distributed training environments * DevSecOps & Security Automation * Drive shift-left security practices across engineering teams * Integrate SAST, DAST, SCA, container security scanning, and secrets detection into CI/CD pipelines * Develop automated security controls and policy enforcement mechanisms. * Build security tooling and automation using Python, Golang, TypeScript, or similar technologies * Improve software supply chain security through dependency management and artifact validation * Cloud & Infrastructure Security * Build and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, and related tools * Secure AWS, Azure, and GCP environments * Implement identity and access management (IAM), secrets management, and Zero Trust principles * Conduct cloud security architecture reviews and risk assessments. * Application Security * Perform threat modeling and security design reviews * Establish secure coding standards and security best practices * Secure REST and GraphQL APIs, authentication se
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