Distributed Systems Software Engineer, Python / Go
Job Description
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
The Distributed Systems Software Engineer position at Canonical offers a unique opportunity to work on innovative solutions and software infrastructure, pivotal to developing and enhancing distributed systems that power modern applications. The successful candidate will collaborate with cross-functional teams to design, build, and maintain robust, scalable systems using Python and Go, while also engaging in problem-solving with a focus on performance optimization and reliability.
Job Responsibilities
- Design, develop, and maintain scalable distributed systems using Python and Go.
- Collaborate with product managers and technical leads to define system architecture and requirements.
- Implement microservices and cloud-native solutions to enhance system capabilities.
- Conduct performance tuning and optimization of existing services and systems.
- Write clean, maintainable code following established coding standards and best practices.
- Participate in code reviews and provide constructive feedback to team members.
- Troubleshoot and resolve issues within the distributed systems architecture.
- Document system designs, APIs, and interfaces to foster understanding across teams.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in software development with a focus on Python and Go.
- Strong understanding of distributed systems design principles and microservices architecture.
- Experience with container orchestration technologies such as Kubernetes or Docker.
- Familiarity with cloud platforms (AWS, GCP, Azure) and their services.
- Ability to work effectively in a team-oriented, collaborative environment.
- Strong problem-solving skills and a keen attention to detail.
Technologies & Tools
In this position, the Distributed Systems Software Engineer will utilize a variety of technologies and tools including Python, Go, Docker, Kubernetes, and cloud services such as AWS, GCP, or Azure. Familiarity with databases (SQL and NoSQL), CI/CD pipelines, and version control systems like Git will also be essential in promoting efficient and effective software development processes.
Ideal Candidates
The ideal candidate for the Distributed Systems Software Engineer role should possess a deep passion for improving technology and contributing to collaborative projects. They should demonstrate a strong analytical mindset, resilience in problem-solving, and an openness to embracing new ideas and technologies. A commitment to fostering a culture of innovation and continuous learning within the team will set successful individuals apart in this dynamic position.
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