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Gazelle. ai: Data Devops

Gazelle. ai

This is a Full-time position in Montreal, QC posted February 13, 2021.

Gazelle.AI is a data platform which predicts how likely a company is to expand using neural net-based prediction algorithms.

The company has received numerous awards (Canadian AI company of the Year, E& Y entrepreneur of the Year and Canadian Profit 500, etc.) and the team is growing.

We are looking for a Data DevOps to join our team to help take our cloud-based data architecture to the next level.

You will work with the CTO and the rest of the team to proactively implement changes and improvements to cloud-based infrastructure.

As an important member of the team, you will have the opportunity to make a significant contribution and influence our data and product strategy, infrastructure and tools.

Your primary responsibilities would be: Designing, developing and optimization of cloud-based infrastructure for data processing and software development Supporting and improving containerization and orchestration of resources Enabling and streamlining the mechanisms of continuous delivery of data and software updates Migrating current solutions to serverless architecture Continuously increasing the level of automation for data pipelines and software development cycles Things you have experience with: DevOps best practices within cloud-based data-related software development AWS platform (S3, EC2, ECS, Lambda, Batch, Redshift, Athena etc.) Best practices of Infrastructure as a Code (CloudFormation, Terraform etc.) Linux/Unix administration and scripting Containerization and orchestration tools (Docker, Docker Swarm, Kubernetes etc.) Scripting languages (bash, Python, Groovy etc.) Enabling security policies and procedures Managed AWS Services (Glue, ElastiCache, DocumentDB, CloudWatch etc.) Other experience that would give you a bonus: Setting and configuration of data lakes and/or data warehouses ETL processes, data pipelines Elasticsearch MongoDB Big Data experience (Spark, Hadoop etc.) What you can expect: Autonomous full-time remote work Small team with no bureaucracy Make an impact on a constantly growing company Great compensation