Cloud DevOps & Scientific Python Engineer (AI)

TL;DR

Cloud DevOps & Scientific Python Engineer (AI): Bridging R&D innovations into scalable production environments, working on cutting-edge technology while maintaining production-grade engineering standards with an accent on cloud operations, scientific software development, and applied AI research for big data and image processing. Focus on translating research prototypes into production, maintaining AWS/Kubernetes infrastructure, and conducting applied AI/ML research.

Location: Ottawa, ON, Canada (on-site)

Salary: $88,000–$93,000 CAD

Company

hirify.global is an information platform for the semiconductor industry, providing in-depth intelligence on innovation and markets.

What you will do

• Translate research prototypes into production-grade modules for the Kimera platform.
• Maintain and optimize AWS cloud infrastructure, CI/CD pipelines, and Kubernetes clusters.
• Develop infrastructure-as-code and provide production support for Linux environments.
• Conduct applied research in AI/ML methods for big-data processing, computer vision, and image analytics.
• Prototype new models, algorithms, and data pipelines, design experiments, and analyze results.
• Collaborate with R&D and internal teams to ensure stable, scalable deployments of services.

Requirements

• Bachelor’s Degree or equivalent experience in Computer Science or related fields.
• Strong Python skills, especially in scientific computing (NumPy, SciPy, Pandas) and software engineering best practices.
• Experience with AI/ML frameworks (TensorFlow, PyTorch) and image processing libraries (OpenCV, scikit-image).
• Background in computational imaging, signal processing, or applied machine learning.
• Experience integrating research algorithms into cloud-native production systems.
• Linux user-level skills.

Nice to have

• Linux system administration skills in cloud environments.
• Experience with AWS cloud services (EC2, S3, Lambda, ECS/EKS).
• Kubernetes (EKS), Helm and cluster management experience.
• Familiarity with big-data processing workflows and distributed systems.
• Experience with system monitoring (Datadog, Grafana, CloudWatch).
• Experience maintaining CI/CD pipelines (Bitbucket Pipelines).
• Familiarity with Infrastructure-as-Code (Terraform or CloudFormation).

Culture & Benefits

• Company-sponsored training and development opportunities.
• Comprehensive benefits package (health, dental, vision, wellness, RRSP/401K Matching, annual fitness reimbursement).
• Flexible vacation policy and bring your own device program.
• Community involvement opportunities through charitable alliances.
• Wellness resources and support.
• Inclusive environment that prioritizes diversity, equity, and accessibility.