Senior DevOps Engineer

Job Title: Senior DevOps Engineer

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

1. Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.

2. Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.

3. Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.

4. Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.

5. Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.

6. Document processes, architectures, and solutions clearly for technical and non-technical audiences.

7. Champion a culture of transparent communication and knowledge sharing within the customer's team.

Required Skills and Qualifications:

1. Expertise in Kubernetes orchestration and management of containerized applications.

2. Hands-on experience with both AWS and GCP cloud platforms.

3. Proven ability to develop automation scripts and tools using Python.

4. Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.

5. Excellent written and verbal communication skills and a collaborative mindset.

6. Experience with monitoring, logging, and proactive system management.

7. Strong problem-solving abilities in complex, distributed cloud environments.

Preferred Qualifications:

1. Certifications related to Kubernetes, AWS, or GCP.

2. Prior work in AI/ML infrastructure or data-intensive environments.

3. Familiarity with additional programming languages or automation frameworks.