Python Developer

Location: Toronto, ON (Hybrid)

Employment Type: Full-Time

Experience Range: 8-10 Years

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:

Strong 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 behavior and performance.

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