DevOps Engineer

You will join our Media & Telecom division, building and operating mission-critical TV and streaming platforms used by global telecom operators.This is a hands-on DevOps SRE hybrid role, focused on engineering, reliability, and large-scale production systems. The team is responsible for designing, improving, and operating highly available services in a fast-moving, production-driven environment.You will work closely with R&D, NOC, and Product teams, taking ownership of system behavior in production and driving continuous improvements in scalability, performance, and automation. The day-to-day Design, build, and improve scalable, highly available systems running on AWSWork deeply with Kubernetes (K8s), Docker, and Helm charts in production environmentsBuild and maintain CI/CD pipelines (Jenkins, Argo Workflows) to support rapid and reliable deliveryDevelop and manage infrastructure using Terraform (Infrastructure as Code)Troubleshoot and resolve complex issues in distributed systems across application, infrastructure, network, data, and observability layersImprove system reliability, monitoring, and observability using tools such as Prometheus, Coralogix (or similar)Build, integrate, and operate AI-based systems and agents as part of production servicesCollaborate with R&D, NOC, and Product teams to drive system improvements and resolve production challengesTake part in on-call rotations as part of shared production ownershipRequirements: Ideally, were looking for:3 years of hands-on experience in DevOps / SRE rolesProven experience in production environments with high-availability systems and on-call responsibilityStrong hands-on experience with: AWS (production environments), Kubernetes (K8s) and Helm charts, Docker / containerized systemsExperience building and maintaining CI/CD pipelines (Jenkins, Argo Workflows)Hands-on experience with Terraform or similar IaC toolsExperience working with Linux and Windows systemsStrong understanding of networking concepts and troubleshooting (TCP/IP, DNS, load balancing, connectivity debugging)Hands-on experience with monitoring and observability tools (e.g., Prometheus, Coralogix, or similar)Familiarity with data layer technologies such as MSSQL, MongoDB, and RedisThese would also be nice: Experience with AI/ML technologies in production environmentsExperience with DevSecOps or DevFinOps practicesExperience with configuration management tools (e.g., Chef) or large-scale distributed systems (media / telecom)This position is open to all candidates.