The work you'll be doing as a developer for Verizon's Cloud Infrastructure supporting development develop and automate cloud infrastructure deployment using Openstack and Kubernetes, build DevOps tools for CI/CD, and design, develop, and deploy generative AI models and agentic systems. This role involves integrating AI solutions, maintaining AI/ML infrastructure, implementing data pipelines, and conducting research in new AI techniques, all while fostering collaboration and ensuring supportability. You will have autonomous control over day-to-day activities allocated to the team as part of agile development of new services

• Serving as developer for Openstack and Kubernetes based Cloud Infrastructure Deployment Automation pipeline

• Interfacing with the engineering and operations team to develop a collaborative process for handoff ensuring supportability and on time delivery.

• Building DevOps tools for CI/CD based deployment of cloud infrastructure.

• Involvement in DevOps lifecycle.

• Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)

• Architecting and building agentic systems with autonomous decision-making capabilities

• Integrating generative AI and agentic solutions into existing products and services

• Developing and maintaining the software infrastructure required for AI/ML pipeline

• Developing and implementing data pipelines for training and evaluating AI models

• Collaboration, Documentation, Monitoring & Evaluation of AI Systems

• Conducting research and experimentation with new generative AI and agentic techniques

• Advanced Prompt Engineering techniques and tuning

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Knowledge of cloud native tools (e.g., CNI, OPA, FLUX).

• Knowledge of IP Networking including Virtual Private Cloud, VPN, SDN, DNS, Load-balancing, and Firewalls.

• Experience in OS virtualization and containerization isolation technologies and automation.

• Experience with Full Stack development.

• Experience in following open source Kubernetes/Openshift deployment.

Even better if you have one or more of the following:

• Master’s degree or related field.