Python Dev

Roles and Responsibilities

- Designing, building, and optimizing data services that power the business’ AI and ML applications
- Architecting and implementing software best practices and standards for code quality, performance, and scalability across AI applications
- Collaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of data applications at scale
- Building highly scalable, resilient cloud and on-premises data automation solutions.

Must Have Skills & Experience:

- Solid and relevant experience designing and implementing distributed systems and software architectures for data services
- Proven expertise in software engineering practices, including code review, testing, design patterns, and software architecture




- Hands-on experience building and deploying scalable applications and services using modern frameworks and technologies
- In-depth knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)
- Hands-on experience building and deploying applications across hybrid environments on-prem and major cloud environments, such as AWS and Azure
- Medium to strong proficiency in SQL, Python and Apache Spark
- Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in non-production environments
- Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance.

📌 Python Developer (Toronto)
🏢 Zodiac Solutions
📍 Toronto