Cloud Software Engineer

Stefanini - Dearborn, MI

Full-time - Mid Level

Dearborn, MI

251-500 employees

Professional, Scientific, and Technical Services

About the position

The Cloud Software Engineer at Stefanini Group will play a pivotal role in developing generative AI applications aimed at transforming mobility. This position involves collaboration within a dynamic, cross-functional team to create and deploy innovative solutions on the Google Cloud Platform, enhancing decision-making and customer experiences.

Responsibilities

• Work closely with Tech Anchor, Product Manager, and Product Owner to deliver MLOPs platform and Gen AI solutions in Google Cloud Platform using Python.
• Collaborate with software and ML engineers/Data Scientists to address AIOps and Gen AI challenges.
• Maintain and manage the current CI/CD ecosystem and tools.
• Automate and improve CI/CD processes and release workflows.
• Examine and resolve issues in code/scripts.
• Standardize machine learning development practices.
• Experiment and share knowledge with the team.
• Lead by example in paired programming for cross-training and problem-solving.
• Utilize the latest ML, Gen AI, Google Cloud Platform, and Kubernetes technologies.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a similar technical discipline.
• 3+ years of experience as a backend software engineer in Python.
• 2+ years of experience with Cloud Engineering/Services.
• Experience with ML workflow orchestration tools like Airflow and Kubeflow.
• Advanced knowledge of object-oriented programming languages such as Python and C/C++.
• Understanding of MLOps and Gen AI.
• Experience in DevOps tools like Jenkins and Tekton.
• Familiarity with Google Cloud Platform services such as Vertex AI, Cloud Functions, and BigQuery.
• Experience with container management solutions like Kubernetes and Docker.
• Proficiency in scripting languages such as Bash and PowerShell.
• Experience with Infrastructure as Code tools like Terraform.

Nice-to-haves

• Master's degree focused in Computer Science, Machine Learning, or a related field.
• Experience with Google Cloud Platform, specifically Google Kubernetes Engine and Terraform.
• Knowledge of programming concepts like Paired Programming and Test Driven Development.
• Understanding of coding and software craftsmanship practices.
• Quick learner with a willingness to adopt new technologies.
• Experience applying agile practices to solution delivery.
• Team-oriented with strong communication skills.
• Self-starter capable of identifying bottlenecks and proposing innovative solutions.

Benefits

• Competitive salary based on experience and qualifications.
• Potential bonuses or other incentives.