DevOps Engineer

November 25

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Coactive AI

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Artificial Intelligence • Media • SaaS

Coactive AI is a company that provides a multimodal AI platform for analyzing, tagging, and extracting rich metadata from video, image, and audio content. Their Coactive Multimodal AI Platform (MAP) delivers dynamic, customizable tagging and semantic search at keyframe, shot, scene, and video levels to accelerate content operations, moderation, personalization, ad targeting, and analytics. The platform is designed to scale to petabytes, integrate into downstream applications, and be updated with new models without re-training.

11 - 50 employees

🤖 Artificial Intelligence

📱 Media

☁️ SaaS

📋 Description

• Design, build, and maintain highly scalable and reliable infrastructure on cloud platforms like AWS, GCP, and Azure. • Develop and optimize CI/CD pipelines to streamline deployment processes for microservices and data pipelines. • Manage and enhance real-time data workflows using technologies such as Kafka, Spark, and Databricks. • Implement robust monitoring and logging solutions to ensure system health and performance using tools like Datadog. • Establish and enforce cloud security best practices to ensure the integrity and safety of data and applications. • Automate infrastructure using tools like Terraform and orchestrate workloads with Kubernetes and related technologies. • Collaborate with ML and data engineering teams to create a seamless integration between infrastructure and data models. • Ensure efficient network setup and manage databases such as MongoDB, Postgres, and Redis.

🎯 Requirements

• 5+ years extensive experience in cloud infrastructure, particularly with AWS, and knowledge of GCP and Azure. • Hands-on expertise in Kubernetes, including deployment, scaling, and management, as well as related tools like Envoy and Keda. • Proficiency with data platforms and tools, including Kafka, Spark, and Databricks. • Strong Python programming skills for automation and infrastructure management. • Solid understanding of networking concepts and experience setting up and managing network infrastructure. • Experience with monitoring and logging tools, such as Datadog, to ensure observability and system reliability. • Proven experience with databases like MongoDB, Postgres, and Redis. • Ability to work independently in a fast-paced startup environment and solve complex problems with minimal guidance.

🏖️ Benefits

• Receive a monthly allowance to help cover prepaid medical services with the provider of your choice. • Connectivity Allowance – to help cover your internet and cellphone plans.