Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related fieldStrong understanding of OS, networking basics & Linux command-line usageProficiency in at least one scripting language such as Python or BashBasic knowledge of cloud computing concepts (AWS preferred)Familiarity with DevOps principles like CI/CD, automation & cloud infrastructure management is a plusAwareness of version control systems like GitTechnical Skills (Good to have; Not mandatory):
Exposure to cloud platforms (preferably AWS) and infrastructure services (e.g., EC2, S3, RDS, Kubernetes)Understanding of Infrastructure as Code concepts; Knowledge on Terraform is a plusBasic knowledge of CI/CD tools like GitLab or AzureDevOpsAwareness of monitoring concepts and observability tools (e.g., New Relic, Grafana)Basic knowledge about containerization, automation or data/ML infra tools (e.g., Docker, Ray, Dagster, Weights & Biases) is an advantageExposure to scripting tasks for automation and ops workflows using PythonWhat you'll learn being part of Sanas:
Real-world experience managing cloud infrastructure (AWS, Azure) & COLO datacenterInfrastructure automation using Terraform and PythonCI/CD pipeline development and management with GitLab and SpinnakerObservability and monitoring with New Relic, Grafana and custom alerting mechanismsWorking with cutting-edge tooling in ML/AI infra (Ray, Dagster, W&B) and data analytics (ClickHouse, Aurora PostgreSQL)Agile delivery models & collaboration with Engineering, Science, InfoSec and ML teamsWhat We Offer:
Hands-on experience with modern DevOps practices and enterprise cloud architectureMentorship from experienced DevOps engineersExposure to a scalable infrastructure supporting production-grade AI and ML workloadsOpportunity to contribute to automation, reliability and security for systemsParticipate in occasional on-call rotation to maintain system availabilityA collaborative & fast-paced learning environment where your work directly supports engineering and innovation
