DevOps Engineer (Medellín)

View full description

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.

Responsibilities:

• 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.