DevOps Engineer | Remote
Overview
This DevOps Engineer will apply expertise to help train next-generation AI systems by designing, implementing, and managing scalable cloud infrastructure. The role involves automating deployment pipelines, monitoring systems, and ensuring security best practices. No prior AI experience is required—domain knowledge in DevOps is what matters.
What You'll Do7
- 1Design, implement, and manage scalable cloud infrastructure using AWS and Kubernetes
- 2Automate deployment pipelines, monitoring, and configuration management to improve system efficiency and reliability
- 3Collaborate closely with development teams to ensure smooth integration and continuous delivery across environments
- 4Monitor system performance, proactively identifying and resolving bottlenecks or potential outages
- 5Establish and enforce security best practices within DevOps processes, supporting compliance and data protection requirements
- 6Document processes and communicate technical information clearly to both technical and non-technical stakeholders
- 7Troubleshoot and debug complex infrastructure and application-level issues to ensure minimal downtime
Requirements7
- 1Proven expertise in DevOps methodologies and cloud-native infrastructure management
- 2Hands-on experience with Kubernetes for orchestration and container management
- 3Strong proficiency with AWS cloud services and solutions
- 4Exceptional written and verbal communication skills
- 5Deep understanding of CI/CD pipelines, automation tools, and infrastructure-as-code (e.g., Terraform, CloudFormation)
- 6Ability to manage incident response and root cause analysis in a fast-paced environment
- 7Experience with monitoring tools and observability best practices (e.g., Prometheus, Grafana, ELK Stack)
Who Should Apply
The ideal candidate is an experienced DevOps engineer with strong hands-on knowledge of AWS and Kubernetes, skilled in CI/CD automation and infrastructure-as-code. They should have excellent communication skills and be comfortable working in a remote, distributed team. No AI background is necessary, but a passion for contributing to AI training systems is a plus.
Salary Insight
No salary information provided in the description.
Required Skills
Application Tip
Tailor your resume to highlight specific AWS and Kubernetes projects, and emphasize any experience with CI/CD pipelines and monitoring tools. Since this role is for training AI systems, consider noting your interest in AI and how your DevOps skills can contribute.