Jobs and Careers
CO

AI/ML DevOps Engineer (RapidScale)

Cox Enterprises
United Statesfull_timeVerifiedPosted 3 Jan 2025
💰 $199,400/yr($119,600/yr$199,400/yr)

About the role

Company

Cox Communications, Inc.

Job Family Group

Engineering / Product Development

Job Profile

Lead Cloud Engineer

Management Level

Manager - Non People Leader

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

Yes, 15% of the time

Work Shift

Day

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

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid tim

Apply for this role

Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.

Apply Now →Generate Application Kit

Free account required — sign up in 30s

Company

Cox Enterprises

View company profile →