Description

Key Skills: Linux, Observability, Containerization (Docker, Kubernetes), Python, Ansible, Go, Grafana, Prometheus, Microservices, Rust

Roles and Responsibilities:

• Design and develop scalable cloud-native solutions to accelerate HPC and AI workloads.
• Build and maintain platform tools, CLI utilities, Kubernetes operators, and automation frameworks.
• Design, implement, and optimize CI/CD pipelines and automated deployment processes for containerized environments.
• Develop and manage Infrastructure as Code (IaC) and GitOps workflows.
• Implement and enhance observability systems using monitoring, logging, and tracing frameworks.
• Collaborate with engineering teams across geographies to enable reliable and scalable distributed systems.
• Optimize performance, scalability, reliability, and security of cloud infrastructure.
• Manage the end-to-end infrastructure lifecycle, including provisioning, deployment, monitoring, and incident response.
• Continuously evaluate and adopt emerging technologies to improve platform capabilities.

Skills Required:

• Strong proficiency in Go and/or Python for platform and infrastructure development.
• Hands-on experience with Linux systems administration and troubleshooting.
• Solid experience with containerization technologies such as Docker and Kubernetes.
• Practical experience with Ansible and Infrastructure as Code practices.
• Experience designing and managing CI/CD workflows using tools such as GitHub Actions or similar platforms.
• Strong knowledge of observability frameworks, including OpenTelemetry, Prometheus, and Grafana.
• Understanding of distributed systems, microservices architecture, and cloud-native design principles.
• Familiarity with Rust for systems-level programming (preferred).
• Strong problem-solving skills and ability to work independently in fast-paced environments.
• Excellent communication and collaboration skills.

Education: BSc in Computer Science or an equivalent program

Key Skills

Education

Any Graduate