Cloud Platform Engineer – AI/ML Systems at Perkins Coie

Company Overview Perkins Coie is a leading international law firm serving great companies ranging from established global brands to disruptive startups. With over a century of experience and a commitment to innovation, we provide a full array of legal services to meet our clients’ diverse needs. At Perkins Coie, we embrace a remote-first culture, understanding that talent can thrive anywhere. We are committed to fostering an inclusive and collaborative virtual environment where every team member can contribute their best work, regardless of location. We provide the tools, resources, and support necessary for our employees to succeed in a fully remote work setting. Position Summary Perkins Coie is seeking a highly motivated and experienced Cloud Platform Engineer specializing in AI/ML systems to join our innovative Technology department. This is a fully remote position, offering the opportunity to work from anywhere in the USA. As a Cloud Platform Engineer, you will be responsible for designing, building, and maintaining the cloud infrastructure that supports our cutting-edge AI/ML initiatives. You will collaborate with data scientists, machine learning engineers, and software developers to create scalable, reliable, and secure solutions. Your expertise in cloud technologies, DevOps practices, and AI/ML platforms will be crucial in driving our technological advancements. Key Responsibilities Design, implement, and maintain cloud infrastructure for AI/ML workloads, utilizing services such as AWS, Azure, or GCP. Collaborate with data scientists and machine learning engineers to understand their infrastructure requirements and translate them into scalable and efficient solutions. Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Implement and maintain CI/CD pipelines for deploying AI/ML models and applications. Monitor and optimize the performance of cloud-based AI/ML systems, identifying and resolving bottlenecks. Ensure the security and compliance of cloud infrastructure, implementing best practices for access control, data encryption, and vulnerability management. Troubleshoot and resolve issues related to cloud infrastructure and AI/ML systems. Stay up-to-date with the latest cloud technologies and AI/ML trends, evaluating and implementing new tools and techniques. Participate in virtual team meetings and contribute to the continuous improvement of our remote work processes. Document infrastructure designs, configurations, and procedures for remote team access. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in cloud platform engineering, with a focus on AI/ML systems. Strong understanding of cloud computing concepts and technologies, including AWS, Azure, or GCP. Proficiency in Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Experience with CI/CD pipelines and DevOps practices. Solid understanding of security best practices for cloud environments. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills, with the ability to work effectively in a remote team environment. Proven ability to manage time effectively and prioritize tasks in a remote setting. Must reside in the USA. Technical Requirements To ensure a productive remote work experience, the following technical requirements are necessary: Home Office Setup: A dedicated, quiet workspace free from distractions. Internet Speed: A reliable high-speed internet connection with a minimum upload speed of 10 Mbps and download speed of 50 Mbps. Equipment: Perkins Coie will provide a company laptop and necessary peripherals (monitor, keyboard, mouse, headset). A home office stipend will be provided to assist with setting up your workspace. Time Zone: While this is a fully remote position, some collaboration with team members in Pacific Time (PT) may be required. Desired Skills Experience with containerization technologies such as Docker and Kubernetes. Experience with data engineering tools and technologies such as Spark and Hadoop. Experience with machine learning frameworks such as TensorFlow and PyTorch. Familiarity with data privacy regulations and compliance requirements. Experience working in a regulated industry (e.g., legal, financial). Compensation & Benefits The annual salary range for this fully remote Cloud Platform Engineer - AI/ML Systems position is $140,000 - $180,000, commensurate with experience and location within the USA. Perkins Coie offers a comprehensive benefits package, including: Medical, dental, and vision insurance. Paid time off (PTO) and holidays. 401(k) plan with company match. Life insurance and disability coverage. Employee assistance program (EAP). Professional development opportunities. Remote Work Benefits: Home office stipend, virtual onboarding program, flexible working hours, virtual team building activities, and access to remote collaboration tools. How to Apply If you are a qualified and motivated Cloud Platform Engineer with a passion for AI/ML systems and thrive in a remote work environment, we encourage you to apply. Please submit your resume and cover letter through our online application portal. We are excited to review your application and learn more about your qualifications.