Senior Cloud Native Software Engineer

7 days ago

Ottawa, Ontario, Canada Wind River Systems Full time
Cloud Native Software Developer - Member of Technical Staff

Cloud Native Software Developer - Member of Technical Staff

As a Senior Cloud Native Software Developer within the Linux Engineering Organization, you will play a crucial role in the design, development, and deployment of the next generation of Kubernetes as a distributed operating system. Your collaboration with Product Management, Quality Assurance, OS development, and customer-facing teams will be essential to ensure that software requirements are fulfilled in a timely manner. Strong communication skills, teamwork, and collaboration are vital as you engage in global projects with colleagues from around the world. A minimum of 8 years of experience in cloud development is required for success in this position.

Key Responsibilities:

  • Engage with stakeholders to design and architect cloud-native solutions that align with business goals and industry best practices.
  • Develop a Kubernetes distribution and create a distributed operating system tailored for cloud-native applications.
  • Address internal and customer-reported issues while providing support for clients developing cloud-native applications.
  • Establish CI/CD pipelines and automation workflows to enhance the deployment process, ensuring scalability, reliability, and performance.
  • Apply security best practices and compliance measures to maintain the integrity and confidentiality of data in cloud-native environments.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related discipline.
  • Over 8 years of experience in cloud and infrastructure technologies.
  • Proficiency in programming languages such as Python, Go, or similar.
  • Strong understanding of Linux systems and networking principles.
  • Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes (k3s/k8s).
  • Experience in deploying and managing virtual machines and KVM.
  • Familiarity with microservices architecture, serverless computing, and API design.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Expertise in pipeline automation.
  • Proactive and adaptable, with a readiness to learn new skills and technologies.
  • At least 3 years of experience in building machine learning models for commercial products.
  • Experience in Natural Language Processing, Large Language Models, Knowledge Graphs, and related fields.

Wind River is an Equal Opportunity Employer committed to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status.

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