Engineer III Consultant-Cloud
verizon
Job Description
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
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Serving as developer for Openstack and Kubernetes based Cloud Infrastructure Deployment Automation pipeline
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Interfacing with the engineering and operations team to develop a collaborative process for handoff ensuring supportability and on time delivery.
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Building DevOps tools for CI/CD based deployment of cloud infrastructure.
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Involvement in DevOps lifecycle.
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Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)
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Architecting and building agentic systems with autonomous decision-making capabilities
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Integrating generative AI and agentic solutions into existing products and services
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Developing and maintaining the software infrastructure required for AI/ML pipeline
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Developing and implementing data pipelines for training and evaluating AI models
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Collaboration, Documentation, Monitoring & Evaluation of AI Systems
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Conducting research and experimentation with new generative AI and agentic techniques
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Advanced Prompt Engineering techniques and tuning
What we’re looking for...
You’ll need to have:
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Bachelor’s degree or four or more years of work experience.
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Four or more years of relevant work experience.
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Knowledge of cloud native tools (e.g., CNI, OPA, FLUX).
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Knowledge of IP Networking including Virtual Private Cloud, VPN, SDN, DNS, Load-balancing, and Firewalls.
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Experience in OS virtualization and containerization isolation technologies and automation.
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Experience with Full Stack development.
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Experience in following open source Kubernetes/Openshift deployment.
Even better if you have one or more of the following:
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Master’s degree or related field.