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

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Position Overview

As a Python and Kubernetes Software Engineer specializing in Data, AI/ML & Analytics at Canonical, you will play a pivotal role in designing and developing scalable, high-performance data solutions that leverage cutting-edge technologies. You will collaborate with cross-functional teams to create innovative applications that enhance data processing, machine learning workflows, and analytical capabilities. This position demands a strong understanding of both Python programming and Kubernetes orchestration, along with a passion for data-driven decision-making and continuous improvement in software development practices.

Job Responsibilities

• Develop and maintain Python-based applications for data processing and machine learning integration.
• Design, implement, and manage Kubernetes containers to ensure optimal performance and scalability.
• Collaborate with data scientists and analysts to translate business requirements into technical specifications.
• Conduct thorough testing and debugging of applications to ensure high-quality software releases.
• Engineered CI/CD pipelines for automated deployment of applications on cloud infrastructures.
• Document software designs, processes, and deployment procedures for internal use.
• Stay current with industry trends and advancements in AI/ML technologies and methodologies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• Proven experience (3+ years) in software development, particularly with Python.
• Strong understanding and hands-on experience with Kubernetes and container orchestration.
• Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or similar.
• Experience in data engineering, big data technologies, and analytics platforms.
• Proficient in using version control systems, particularly Git.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.

Technologies & Tools

This position requires proficiency with a variety of technologies and tools including, but not limited to, Python, Kubernetes, Docker, TensorFlow, PyTorch, Apache Kafka, and cloud platforms such as AWS, Azure, or Google Cloud. A strong foundation in CI/CD tools like Jenkins or GitLab CI will also be essential for facilitating seamless deployment workflows. Understanding of relational and non-relational database systems will further enhance your effectiveness in this role.

Ideal Candidates

The ideal candidates for this position will possess a strong technical background coupled with a proactive and innovative mindset. Individuals should demonstrate a passion for leveraging data and advanced analytics to solve complex problems, along with the ability to work collaboratively within a team setting. Effective communication skills, a commitment to continuous learning, and a results-oriented approach are essential qualities that will contribute to success in this dynamic role at Canonical.