DevSecOps for MLOps

Keysight Technologies • Santa Clara, CA

400d • $132,330 - $242,000

About The Position

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Requirements

• Master's degree in engineering, computer science, or a related field.
• 5+ years of relevant experience in DevSecOps, MLOps, or related roles.
• Proficiency in programming languages such as CMake, Conan, Python, C++, and Rust.
• Comprehensive technical expertise in various DevSecOps and MLOps toolkits, including Ansible, Cloudbees CI (Jenkins), Artifactory, Jira, Black Duck, Git/Version Control Software, or comparable technologies.
• Familiarity with cloud platforms (AWS, Azure, or on-prem HPC), containerization (Docker, Kubernetes), and machine learning operations tools (Kubeflow, MLflow).
• Experience with version control systems (Git) and build automation tools.
• Passion for continuous learning and staying up-to-date with industry best practices.

Responsibilities

• Design and implement CI/CD pipelines for software and machine learning projects using tools such as Jenkins, Git, and Artifactory.
• Collaborate with development and data science teams to integrate security and MLOps practices into the SDLC.
• Automate infrastructure provisioning using Ansible and manage configuration with similar tools.
• Monitor and enhance system performance, uptime, and response time, including machine learning model deployments.
• Develop reusable solutions and patterns for continuous integration, delivery, and machine learning workflows.
• Stay informed about industry trends and contribute to the DevSecOps and MLOps community.
• Troubleshoot and resolve issues related to build processes, deployments, and machine learning pipelines.
• Work closely with software architects and data scientists to align DevSecOps and MLOps practices with architectural and model goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees