Senior Software Engineer - Python/MongoDB

As a Senior Software Engineer with Canonical, you will play a pivotal role in developing high-quality MongoDB solutions. Your main responsibilities include designing and implementing reliable and secure systems for MongoDB on various platforms, managing existing MongoDB clusters, and collaborating with a small team to drive the architectural vision of the project. You will also be involved in automating infrastructure deployments and ensuring quality through automated testing.

To qualify for the Senior Software Engineer - Python/MongoDB role at Canonical, candidates should have a strong background in Python programming and demonstrable experience with MongoDB cluster management. Additionally, familiarity with modern infrastructure deployment automation methods or traditional Linux systems administration is essential. A passion for quality and a commitment to automated testing will also help you thrive in this position.

Canonical fosters a vibrant remote-first culture that has been in place since 2004. As a Senior Software Engineer, you will be part of an inclusive and diverse environment where innovative thoughts are encouraged. You’ll collaborate with a team of innovative engineers from various backgrounds, all while enjoying ultimate flexibility in your work location. Canonical values contributions from a diverse array of experiences, providing a rich workplace that drives creativity and growth.

At Canonical, professional development is a top priority. Senior Software Engineers are encouraged to stay ahead of industry trends and technologies. The company invests in continuous learning opportunities through workshops, conferences, and courses, allowing you to broaden your skillset and enhance your expertise in the field. Furthermore, the collaborative work environment provides plenty of opportunities to learn from fellow accomplished engineers.

Absolutely! Canonical has embraced a remote-first working model since its inception, offering Senior Software Engineers the flexibility to work from wherever they feel most productive. This approach not only enhances work-life balance but also allows you to interact and collaborate with a diverse range of talent regardless of your geographical location.

In your response, highlight specific projects where you utilized Python to streamline database operations or enhance deployment processes. Discuss any frameworks or libraries you used and how these contributed to achieving efficiency and reliability in MongoDB management.

Discuss the importance of automated testing and share your preferred tools or methodologies to ensure that MongoDB deployments run smoothly. Include examples of testing frameworks, CI/CD practices, or situations where automated testing significantly improved the reliability of applications.

Explain your approach to database scaling, including techniques like sharding, replication, and load balancing. Use examples from previous work experiences where you successfully managed scaling and what specific results you achieved.

Describe your familiarity with Juju, particularly in the context of deploying and managing applications like MongoDB. Share any relevant projects where you integrated Juju and discuss how it improved your deployment workflows.

Provide a specific instance that showcases your problem-solving skills and technical expertise. Highlight the challenges faced, your role in the project, and how your contributions led to a successful outcome.

Mention your strategies for keeping up with industry trends, such as following blogs, participating in forums, attending conferences, or engaging with the open-source community. Describe how this ongoing education informs your work and helps you contribute more effectively.

Detail your knowledge of MongoDB security features, including authentication methods and data encryption practices. Use examples to illustrate how you have implemented security measures in your previous roles to protect sensitive data.

Discuss your debugging process, including tools and techniques tailored for Python. Share examples of complex bugs you resolved in past projects and the methods you used to identify and fix them.

Outline your response strategy when faced with a critical failure, emphasizing the importance of quick diagnostics and recovery. Discuss past experiences where you successfully navigated complex failures, highlighting your analytical and calming presence during crises.

This is your chance to show your strategic thinking and innovative mindset. Mention any open-source projects you're passionate about and how you envision improving them at Canonical. Propose concrete enhancements, such as performance optimizations or codebase features that could benefit the community.