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Lead Cloud Engineer

This role is for a Lead Cloud Engineer with Generative AI experience, remote in Edison, NJ. Contract length is unspecified, with a pay rate on W2/one man corp basis. Requires expertise in AWS, Azure, GCP, Python, and AI model deployment.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Edison, NJ
🧠 - Skills detailed
#DevOps #Data Engineering #"ETL (Extract #Transform #Load)" #Computer Science #AWS (Amazon Web Services) #ML (Machine Learning) #Data Pipeline #Logging #Programming #GCP (Google Cloud Platform) #Python #Azure #Automation #Data Management #Monitoring #Model Deployment #AI (Artificial Intelligence) #Cloud #Deployment #Scripting #Terraform #Shell Scripting #Scala #Data Science
Role description
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Iris Software is looking to hire for the following role. If you are interested, please share your updated resume.

Job Title: Lead Cloud Engineer with Generative AI Experience

Location: Edison, NJ (Remote Role)

W2/One man corp only. We cannot do Subcontracting (c2c).

Key Responsibilities:

Design, build, and manage cloud infrastructure for deploying generative AI models and other machine learning applications.

Collaborate with data scientists, AI researchers, and development teams to integrate AI-driven solutions into cloud platforms.

Engineering and optimize scalable cloud-based AI environments on platforms like AWS, Azure, Google Cloud, or others.

Deploy, monitor, and maintain cloud-native applications and services related to AI, ensuring they are reliable and secure.

Develop automation scripts and DevOps pipelines for deploying AI models and related cloud resources.

Implement monitoring and logging solutions to track the performance and health of cloud-based AI systems.

Provide support for data management and integration, ensuring smooth data pipelines for training AI models.

Stay current with the latest developments in cloud technologies and generative AI to continuously improve infrastructure and processes.

Troubleshoot and resolve cloud infrastructure and AI model performance issues.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience in cloud engineering with expertise in cloud platforms (AWS, Azure, GCP, etc.) with good Hands-on.

Experience with AI model deployment, optimization, and scaling in cloud environments.

Proficient in programming languages such as Python, Terraform, and shell scripting.

Strong understanding of machine learning pipelines, data engineering, and cloud-based AI tools.

Familiarity with CI/CD processes for AI model updates and cloud deployments.

Experience with monitoring, logging, and troubleshooting cloud-based AI systems.

Ability to collaborate effectively in a cross-functional team of engineers, data scientists, and AI researchers.

About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.