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Cloud Engineer

This role is for a "Cloud Engineer" with a contract length of "unknown", offering a pay rate of "unknown". Required skills include Python, GCP, MLOps, and CI/CD. A Bachelor's degree in Computer Science and 3+ years of relevant experience are mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Dearborn, MI
🧠 - Skills detailed
#Airflow #Computer Science #C++ #Data Science #GCP (Google Cloud Platform) #Docker #Infrastructure as Code (IaC) #Cloud #Terraform #Programming #Jenkins #Agile #Kubernetes #AI (Artificial Intelligence) #Scripting #BigQuery #Bash #DevOps #Python #ML (Machine Learning)
Role description
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Sorry no C2C

Position Description:

Cloud Software Engineer

Position Overview

In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.

Position Responsibilities
• Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
• Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.
• Maintain and mange current CI/CD ecosystem and tools
• Find ways to automate and continually improve current CI/CD processes and release processes
• Examine, inspect codes / scripts and resolve issues
• Help innovate standardize machine learning development practices.
• Experiment, innovate and share knowledge with the team.
• Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
• Leverage latest ML / Gen AI / GCP / Kubernetes technologies

Skills Required:
• A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
• 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering / Services
• Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
• Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++
• Experience/understanding in MLOPs and Gen AI
• Experience in DevOps: Jenkins/Tekton etc.
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
• Experience in container management solution: Kubernetes, Docker
• Experience in scripting language: Bash, PowerShell etc.
• Experience with Infrastructure as code: Terraform etc

Desired Skills
• Master focused in Computer Science / Machine Learning or related field
• Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure
• Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
• Knowledge of coding and software craftsmanship practices.
• Must be a quick learner and open to learning new technology.
• Experience applying agile practices to solution delivery.
• Must be team-oriented and have excellent oral and written communication skills.
• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

Experience Required:
• 2+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering / Services

Experience Preferred:
• Experience and good understanding of GCP, DevOPs, AI/ML and GEN AI

Education Required:
• Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.