Cox Automotive
4 days ago
Company
Cox Communications, Inc.Job Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary of $119,600.00 - $199,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
At RapidScale, exceptional technology is powered by exceptional people. As a growing leader in secure, reliable managed cloud solutions, we help SMBs and enterprises alike simplify IT and unleash innovation. With a broad portfolio spanning AWS, Azure and Google to a full set of Private Cloud and Cybersecurity solutions, RapidScale helps companies turn technology into their biggest competitive advantage. As part of the Cox family of companies, we offer best-in-class benefits, a commitment to work-life balance, and an award-winning workplace experience.
We are seeking a skilled AI/ML DevOps Engineer to join our AI team. In this role, you will be responsible for implementing and managing our cloud infrastructure across multiple platforms, streamlining our development and deployment processes, and ensuring the reliability and scalability of our systems. You will work closely with development teams to automate processes, improve system performance, and maintain security standards.
Responsibilities
Design, implement, and manage cloud infrastructure across GCP, AWS, and Azure.
Design, implement, and maintain MLOps pipelines and tools to automate the end-to-end lifecycle of AI/ML models, including data preparation, model training, deployment, and monitoring.
Automate and streamline the deployment of AI/ML models into production environments, utilizing CI/CD pipelines and containerization technologies (e.g., Docker, Kubernetes) to ensure efficient, scalable, and reliable model delivery.
Implement and manage containerization and orchestration solutions.
Configure and manage network services and security across cloud platforms.
Set up and maintain monitoring and logging systems for infrastructure and applications.
Implement Infrastructure as Code (IaC) practices using various tools.
Collaborate with development teams to improve application deployment and performance.
Create and maintain comprehensive documentation and README files.
Implement and manage API services and authentication mechanisms.
Continuously evaluate and implement new technologies to improve DevOps processes.
Qualifications
Minimum Requirements
Bachelor’s degree in a related discipline and 6 years’ experience in DevOps Engineering OR a Master’s degree and 4 years’ experience OR a Ph.D. and 1 year of experience OR 10 years’ experience in DevOps Engineering.
3+ years of experience with containerization services across a cloud platform (e.g. GCP, AWS, Azure).
3 years of experience building and maintaining CI/CD pipelines and utilizing cloud automation tools for efficient software deployment.
Experience with orchestration services (e.g. Kubernetes, Anthos, ECS, Azure Service Fabric).
Experience with API services (e.g. Apigee, Cloud Endpoints, API Gateway, API Management).
Experience with Terraform for Infrastructure as Code (IaC).
Experience with scripting languages (e.g., Python, Bash).
Preferred Qualifications
Experience with networking best practices (e.g. public/private network connection solutions, VPN and Direct Connect technologies, Software-defined networking (SDN).)
Experience with database administration and data migration across cloud platforms.
Certification in one or more cloud platforms (e.g., GCP Professional Cloud Architect, AWS Solutions Architect, Azure Solutions Architect Expert).
Benefits
About Us