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Cloud Software Engineer

3 months ago

Dearborn, United States Mindlance Full time

The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform - an AI/Client enablement platform to democratize Machine Learning across enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc). 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 Client 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 Client/Gen AI / GCP/AIOPs/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 Client 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 is a big plus • 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 Skills Preferred: • 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: • 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 Client 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 is a big plus • 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 Experience Preferred: • Experience and good understanding of GCP, DevOPs, AI/Client and GEN AI Education Required: • A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.