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Senior DevSecOps Engineer (AI/ML Systems) at Autodesk
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 services, and microservices architectures
Ensure alignment with OWASP Top 10 and OWASP API Security standards.
Vulnerability Management
Manage vulnerability identification, triage, prioritization, and remediation processes
Assess findings from tools such as Black Duck, Snyk, Trivy, SonarQube, and Checkov
Partner with engineering teams to resolve security issues effectively
Define security metrics and reporting mechanisms
Monitoring & Operations
Implement observability and security monitoring solutions using OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch, and cloud-native tools
Support incident response, forensic investigations, and root cause analysis.
Develop security dashboards and operational reportingRequirements 5+ years of experience in Security Engineering, Application Security, Security Operations, or DevSecOps roles Experience working with cloud platforms such as AWS, Azure, or GCP Experience with Docker, Kubernetes, and cloud-native technologies Strong understanding of secure software development lifecycle (SSDLC) Deep knowledge of Secure Coding Practices, OWASP Top 10, OWASP API Security Top 10, Threat Modeling, Vulnerability Management Hands-on experience with SAST, DAST, SCA, Container Security, Secrets Management Experience automating workflows using Python, Golang, Bash, TypeScript, or equivalent languages Familiarity with CI/CD pipelines and Git-based development workflows Experience designing security architectures that address complex threat models and compliance requirements Strong REST and GraphQL API experience, including authentication, authorization, and API security best practices Excellent communication and stakeholder management skills Experience with AI/ML platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks Experience securing Generative AI, LLM applications, AI agents, and RAG architectures Knowledge of MITRE ATLAS NIST AI Risk Management Framework Responsible AI principles Experience with Kubernetes security and cloud-native security platforms. Familiarity with SOC2, ISO 27001, NIST, HIPAA, or GDPR compliance frameworks Security certifications such as CISSP, CCSP, CSSLP, CKS, or AWS Security Specialty Preferred Skills Python, TypeScript, Terraform, Kubernetes, Docker, GitHub Actions, GitLab CI, Jenkins, AWS / Azure / GCP, Snyk, SonarQube, Open Telemetry, Prometheus, Grafana, ELK/OpenSearch, Comet Opik #LI-SJ1 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.Additional Information 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.
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