Full-Time Software Engineer & Open Source Contributor

• Learning and Development: Work with senior developers to learn best practices, coding standards, and modern development techniques.
• Community Engagement: Participate in open source communities to build relationships, resolve issues, and contribute to software solutions.
• Collaboration: Collaborate with internal development and product management teams to integrate open source contributions into our products and services.
• Code Quality: Assist in ensuring that all open source contributions meet high standards of code quality, testing, documentation, and maintainability.
• Software Development: Help design, develop, and maintain features and services using Python and Golang.
• Open Source Contributions: Actively contribute to and maintain open-source projects, learning from and enhancing the community.
• Technical Growth: Develop your expertise in cloud-native architectures, containerization, orchestration, and other modern technologies.

• Experience in software development with a focus on Python and/or Golang.
• Basic problem-solving skills and the ability to troubleshoot issues.
• A strong interest in open source best practices, including code quality, testing, and documentation.
• Experience and understanding of how to leverage AI-powered co-development tools.
• Willingness to learn about scale-out cloud-native architectures such as parallel computing (e.g., goroutines), Kubernetes clusters, and distributed systems.
• Interest in developing and maintaining APIs using JSON and YAML.
• Familiarity with Docker and Kubernetes for deploying, managing, and scaling microservices.
• Eagerness to gain knowledge in Kubernetes.
• Strong communication and collaboration skills.

• Participation in open source projects as a contributor or maintainer.
• Experience with Agile development methodologies and version control systems like Git.
• Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
• Foundational understanding of AI infrastructure.
• Polyglot with little or no bias for specific programming languages.

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