DevOps Engineer
hace 2 días
DevOps Engineer (Medellín) – Coactive AI We are looking for a seasoned DevOps Engineer to join our dynamic team. This individual will build and maintain scalable infrastructure to support microservices, data pipelines, and data lakes with a strong emphasis on cloud platforms and real-time workflows. This is a remote position based in Medellín, Colombia. What You’ll Do 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. What We Look For 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. Preferred Qualifications Experience with vector databases and integrating them into data workflows. Previous experience collaborating with ML teams to deploy and optimize machine learning models in production. Familiarity with fast‑paced startup environments and adaptability to evolving requirements. What You Can Expect From Us At Coactive, competitive cash salary is only one part of our total compensation package. Other perks/benefits for this position include, but are not limited to: 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. Further, you can expect a supportive work environment from us. We build products, but we develop people. Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board. Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting. #J-18808-Ljbffr
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