Python Developer

Location: Toronto, ON

Work Arrangement: Hybrid – 4 Days Onsite

Experience: 8+ Years

Position Overview

We are seeking an experienced Python Developer to design, develop, and optimize scalable data services that support enterprise AI/ML applications. The ideal candidate will have strong software engineering fundamentals, distributed systems experience, and hands-on expertise with Python, SQL, Apache Spark, Docker, Kubernetes/OpenShift, and hybrid cloud environments.

You will collaborate closely with infrastructure engineers, data engineers, and machine learning researchers to build reliable, high-performance data applications across cloud and on-premises environments.

Key Responsibilities

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Design, develop, and optimize scalable data services and applications supporting AI/ML workloads.

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Architect and implement distributed systems and software services with a focus on scalability, reliability, performance, and maintainability.

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Establish and follow software engineering best practices, including code reviews, unit/integration testing, design patterns, coding standards, and documentation.

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Develop and deploy highly scalable applications using Python and modern software frameworks.

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Build resilient data automation solutions across hybrid cloud and on-premises environments.

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Collaborate with infrastructure teams and ML researchers to ensure seamless integration and reliable operation of data services.

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Develop and optimize data access layers for SQL and NoSQL databases.

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Work with databases such as MongoDB and relational database platforms in development and non-production environments.

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Develop and optimize data processing solutions using Apache Spark and SQL.

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Containerize and deploy applications using Docker and Kubernetes/OpenShift (OCP4).

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Support application deployments across major cloud platforms, including AWS and Azure, as well as on-premises infrastructure.

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Implement observability, monitoring, logging,



and performance-management practices to improve system visibility and reliability.

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Troubleshoot complex application, data, infrastructure, and performance issues across distributed environments.

Must-Have Skills & Experience

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Strong professional experience in Python development and software engineering.

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Hands-on experience designing and implementing distributed systems, scalable architectures, and data services.

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Strong understanding of software architecture, design patterns, code quality, testing, and code review practices.

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Experience building and deploying scalable, production-grade applications and services.

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Strong hands-on experience with Python, SQL, and Apache Spark.

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Practical experience with Docker and Kubernetes or OpenShift Container Platform (OCP4).

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Experience deploying applications across hybrid environments, including on-premises infrastructure and AWS/Azure.

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Experience designing data access layers and integrating with relational and NoSQL databases.

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Hands-on experience with MongoDB or comparable NoSQL databases.

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Knowledge of observability, monitoring, logging, troubleshooting, and application performance practices.

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Strong understanding of REST APIs, microservices, distributed applications, and cloud-native development.

Preferred Qualifications

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Experience supporting AI/ML platforms, data-intensive applications, or machine learning workloads.

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Experience with CI/CD pipelines, Git, DevOps, and automated deployment practices.

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Familiarity with cloud-native architecture and 12-factor application principles.

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Experience working in large-scale enterprise environments with cross-functional engineering teams.

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Robust problem-solving, communication, and collaboration skills.

Key Technology Stack

Python | SQL | Apache Spark | Docker | Kubernetes | OpenShift/OCP4 | AWS | Azure | MongoDB | SQL/NoSQL | REST APIs | Distributed Systems | Microservices | Observability | Monitoring | Logging | CI/CD | AI/ML

📌 Python Developer // Toronto, ON //Hybrid // FTP
🏢 AceStack
📍 Toronto