Senior DevOps Engineer

About this role

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.

Skills

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 & 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.