DevOps Engineer

AI company that makes it easy to search, filter, and analyze visual content by bringing structure to unstructured visual data.
Medellín, Medellin, Antioquia, Colombia
DevOps
Senior Software Engineer
Remote
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS

Description For DevOps Engineer

Coactive is a Forbes' top 50 AI company backed by prestigious investors like Andreesen Horowitz and Bessemer Ventures. They specialize in making visual content searchable, filterable, and analyzable, addressing the challenge of managing the growing volume of image and video data that represents 80% of internet traffic.

The DevOps Engineer role offers an exciting opportunity to join a category-defining team at the forefront of AI innovation. Based in Medellín, Colombia, this remote position involves building and maintaining scalable infrastructure for microservices, data pipelines, and data lakes. The ideal candidate will have extensive experience with cloud platforms, particularly AWS, and strong expertise in technologies like Kubernetes, Kafka, and various databases.

The role requires a seasoned professional with 5+ years of experience who can work independently in a fast-paced startup environment. You'll be responsible for designing and maintaining cloud infrastructure, optimizing CI/CD pipelines, managing real-time data workflows, and implementing robust monitoring solutions. The position offers competitive compensation, including medical and connectivity allowances.

Working at Coactive means joining a team founded by experts who shaped high-performance deep learning and data-centric AI fields, with experience from companies like Google, Meta, Pinterest, eBay, and Lyft. The company emphasizes personal development with their motto "We build products, but we develop people," making it an ideal place for those passionate about driving innovation in AI and delivering exceptional customer experiences.

Last updated 21 days ago

Responsibilities For DevOps Engineer

  • Design, build, and maintain highly scalable and reliable infrastructure on cloud platforms like AWS, GCP, and Azure
  • Develop and optimize CI/CD pipelines 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 using tools like Datadog
  • Establish and enforce cloud security best practices
  • Automate infrastructure using Terraform and orchestrate workloads with Kubernetes
  • Collaborate with ML and data engineering teams
  • Ensure efficient network setup and manage databases

Requirements For DevOps Engineer

Python
MongoDB
PostgreSQL
Redis
Kubernetes
Kafka
  • 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
  • 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
  • Experience with monitoring and logging tools, such as Datadog
  • Proven experience with databases like MongoDB, Postgres, and Redis
  • Ability to work independently in a fast-paced startup environment

Benefits For DevOps Engineer

Medical Insurance
  • Monthly allowance for prepaid medical services
  • Connectivity Allowance for internet and cellphone plans

Interested in this job?

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