Remote Senior DevOps Engineer
Role details
Job location
Tech stack
Job description
As a Senior DevOps Engineer, you will play a crucial role in shaping the future of AI systems by designing and maintaining scalable infrastructure solutions. Your expertise will directly influence how models learn and perform, utilizing real-world input to enhance AI capabilities. This position is fully remote and offers the flexibility of contract work, allowing you to contribute your domain knowledge without needing prior AI experience., * Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
- Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
- Document processes, architectures, and solutions clearly for both technical and non-technical audiences.
- Champion a culture of transparent communication and knowledge sharing within the team.
Requirements
- Expertise in Kubernetes orchestration and management of containerized applications.
- Hands-on experience with both AWS and GCP cloud platforms.
- Proven ability to develop automation scripts and tools using Python.
- Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
- Excellent written and verbal communication skills and a collaborative mindset.
- Experience with monitoring, logging, and proactive system management.
- Strong problem-solving abilities in complex, distributed cloud environments., * Certifications related to Kubernetes, AWS, or GCP.
- Prior work in AI/ML infrastructure or data-intensive environments.
- Familiarity with additional programming languages or automation frameworks., Open to candidates with relevant experience; no prior AI experience required.
Benefits & conditions
Contract position with flexible hours, fully remote. Compensation:
Hourly rate ranging from $20 to $70. Eligibility