DevOps Engineer

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We are seeking a DevOps Engineer specializing in AWS to play a key role in designing, implementing, and optimizing cloud solutions for various data initiatives. This role is ideal for someone who thrives in building proof-of-concept architectures, automating workflows, and ensuring secure, scalable deployments of data-driven applications.

Technical Skills & Experience :

• Cloud Infrastructure : Deep expertise in AWS services (EC2, S3, Lambda, RDS, SageMaker, etc.).
• Infrastructure as Code (IaC) : Experience with Terraform, AWS CloudFormation, or CDK
• CI / CD Pipelines : Hands-on knowledge of Github & GitHub Actions for automated deployments.
• Containerization & Orchestration : Proficiency in Docker, Podman & Kubernetes (EKS).
• Data & Analytics Solutions : Ability to build and optimize pipelines for big data processing (Glue, Redshift, Athena, EMR, etc.).
• Security & Compliance : Familiarity with IAM, VPC security, encryption, monitoring, and incident response.
• Observability & Monitoring : Experience with tools like AWS CloudWatch, Prometheus, Grafana, and Datadog.
• Programming & Scripting : Strong skills in Python, Bash, or Go for automation and data workflows

Softskills :

McGill's DataSphere Lab

The DataSphere Lab at McGill University is a cutting-edge hub where academics, students, and industry leaders collaborate to advance AI, machine learning, and data analytics in the retail sector. Working there means being at the forefront of data-driven innovation , tackling real-world challenges with state-of-the-art technology and interdisciplinary expertise!

Seniority level

Seniority level

Entry level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Education Administration Programs

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