DevOps Engineer at Coactive AI

At Coactive, we make it simple to search, filter, and analyze visual content. Because image and video data now account for 80% of internet traffic, this information is often a burden rather than an asset. We solve this by bringing structure to unstructured visual data, allowing teams to unlock value in minutes instead of years. Founded by experts who helped shape high-performance deep learning at companies like Google, Meta, and Pinterest, we are a Forbes top 50 AI company backed by leading investors such as Andreesen Horowitz and Bessemer Venture Partners. We are looking for talented individuals to join our category-defining team as we push the boundaries of what is possible in AI.

About the Role

We are seeking a Senior DevOps Engineer to join us on a full-time basis. In this role, you will build and maintain scalable infrastructure designed to support our microservices, data pipelines, and data lakes. You will play a critical part in our engineering efforts, with a primary focus on cloud platforms and real-time workflows.

Key Responsibilities

• Design, build, and maintain highly reliable and scalable infrastructure across cloud platforms including AWS, GCP, and Azure.
• Develop and optimize CI/CD pipelines to streamline deployment processes, while automating infrastructure management using Terraform and orchestrating workloads with Kubernetes.
• Collaborate closely with our machine learning and data engineering teams to ensure seamless integration between our infrastructure and data models.

Requirements

To be successful in this role, you should possess the following qualifications:

• At least 5 years of extensive experience in cloud infrastructure, with a strong emphasis on AWS.
• Hands-on expertise in Kubernetes, including deployment, scaling, and management, alongside related tools like Envoy and Keda.
• Proficiency in Python programming for automation and infrastructure tasks.
• Experience managing real-time data workflows using technologies such as Kafka, Spark, and Databricks.
• Proven experience with databases including MongoDB, Postgres, and Redis.
• A solid understanding of networking concepts and experience with monitoring tools like Datadog.
• The ability to work independently and solve complex problems within a fast-paced startup environment.

Location

This is a hybrid position based in Montreal, Quebec, requiring three days per week in the office.

Compensation and Benefits

The estimated annual base salary for this position is between $153,000 and $195,000 CAD. Beyond your base salary, we offer a comprehensive total compensation package that includes:

• Equity grants.
• 100% medical, dental, and vision coverage for you, with partial coverage for your dependents.
• Unlimited vacation time.
• A supportive work environment featuring regular social events, including happy hours, hiking, and team gaming sessions.