Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Canonical, so some details may not match this job. The employer's own page has the real description.

Job Overview

Canonical is seeking a talented Python and Kubernetes Software Engineer specializing in Data, AI/ML, and Analytics. The successful candidate will be responsible for designing, developing, and maintaining robust software solutions that leverage data to enhance machine learning models and analytics capabilities. You will collaborate with a dynamic team to build applications that support a wide array of data processing and analytical tasks, ensuring optimal performance and scalability within Kubernetes environments. Your expertise will be crucial in driving innovation and efficiency across our products.

Job Responsibilities

• Develop, test, and maintain scalable software using Python and Kubernetes.
• Collaborate with data scientists and other developers to implement AI/ML algorithms.
• Design and optimize data pipelines for large-scale data processing.
• Monitor and troubleshoot applications to ensure reliable performance and availability.
• Create detailed documentation for software systems and processes.
• Participate in code reviews and contribute to a collaborative development environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in software development using Python.
• Strong familiarity with Kubernetes for container orchestration and deployment.
• Experience working with data processing frameworks and ETL processes.
• Solid understanding of AI/ML concepts and libraries.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

In this role, you will work with a variety of technologies and tools including, but not limited to, Python, Kubernetes, Docker, various data processing frameworks (such as Apache Spark or Apache Kafka), and AI/ML libraries like TensorFlow and PyTorch. Familiarity with cloud platforms such as AWS or Azure and CI/CD tools is also beneficial to maximize deployment efficiency and scalability.

Ideal Candidates

The ideal candidate for this position possesses a strong analytical mindset coupled with excellent programming skills. They should be passionate about data and AI/ML technologies, with a proactive approach to learning and improving existing systems. Excellent communication skills and a collaborative spirit are essential, as the role requires working closely with cross-functional teams. A deep commitment to code quality and best practices will enable them to contribute effectively to our ambitious technical goals.