We are seeking a highly experienced Staff DevOps Engineer to join our team. As a key member of our engineering organization, you will be responsible for leading the development and implementation of DevOps practices and tools to improve the efficiency and scalability of our infrastructure. You will work closely with our data science team to ensure seamless integration of machine learning models and big data processing into our production environment.
Key Responsibilities
- Design and implement scalable and efficient DevOps pipelines using Kubernetes and other tools.
- Collaborate with data science team to integrate machine learning models and big data processing into production environment.
- Develop and maintain monitoring and logging infrastructure to ensure visibility and troubleshooting capabilities.
- Work with cross-functional teams to identify and prioritize technical debt and implement solutions to improve overall system reliability and performance.
- Stay up-to-date with industry trends and emerging technologies, and make recommendations for adoption and integration into our infrastructure.
Requirements
- 5+ years of experience in DevOps engineering, with a strong focus on Kubernetes and containerization.
- Strong understanding of machine learning and big data processing concepts and technologies.
- Experience with cloud-based infrastructure, preferably AWS.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong problem-solving skills, with the ability to troubleshoot complex technical issues.