Site Reliability Engineer / Azure / Kubernetes / EKS

A mogul in the entertainment industry is looking for an SREDevOps Engineer to join their vibrant team doing state-of-the-art DevOps. They are looking for candidates to work either remotely, or onsite at the Santa Monica or Burbank office. Candidates with active, real-world DevOps experience with developing build and release pipelines in Azure DevOps are what they are looking for. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste not doing anything ‘for the sake of doing it’. We’re looking for a passionate, impactful, technical leader who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of this company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Required Skills Experience Experience in public and private cloud hosting services (AWS, Azure) as well as familiarity with container computing (Kubernetes) Desired Experience Previous experience in a startup environment and be comfortable performing multiple roles. Tech Breakdown System Azure Kubernetes Service (AKS), Elastic Kubernetes Service (AWS) Responsibilities You will use your knowledge of the Azure or AWS platform, cloud technologies including containerization and container orchestration, pipelines, and databases to translate development requirements for Azure Kubernetes Service or Elastic Kubernetes Service (AWS) and Azure SQL or AWS RDS into actionable implementations. You will implement and maintain build and release pipelines. You will support AKS or EKS clusters based on evolving technology changes, in collaboration with the development team, and evaluate and develop new means of expanding observability for application and infrastructure reliability and resilience.

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