Senior DevOps Engineer for AI Systems Job at SaidGig, Remote

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  • SaidGig
  • Remote

Job Description

This role focuses on leveraging your expertise to train next-generation AI systems, shaping how models learn, reason, and perform through high-quality, real-world input. Your domain knowledge is key, and no prior experience in AI is required. Key Responsibilities:

  • 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 technical and non-technical audiences.
  • Champion a culture of transparent communication and knowledge sharing within the customer''s team.
Required Skills and Qualifications:
  • 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.
Preferred Qualifications:
  • 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.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly rate ranges from $30 to $130.

Eligibility:

Open to candidates with the required skills and qualifications.

Job Tags

Remote job, Hourly pay, Contract work

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