Cloud DevOps Engineer

OUR STORY

Tech Insights is the information Platform for the semiconductor industry.

Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, Tech Insights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future.

Over 650 companies and 125,000 users access the Tech Insights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. Tech Insights’ customers include the most successful technology companies who rely on Tech Insights’ analysis to make informed business, design, and product decisions faster and with greater confidence.

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• Company-sponsored training and development opportunities
• Comprehensive benefits package (health, dental, vision, wellness, RRSP/401K Matching, annual fitness reimbursement)
• Flexible vacation policy
• Bring your own device program
• Community involvement opportunities through charitable alliances:
• Wellness resources and support
• Inclusive environment that prioritizes diversity, equity, and accessibility
• High-growth company driven by high performance
• Estimated salary range: $88,000 - $93,000 CAD

The Tech Insights Research & Development team is seeking a multidisciplinary engineer who thrives at the intersection of cloud operations, scientific software development, and applied AI research. This unique hybrid role splits time between Dev Ops/Scientific Python development and AI/ML research for big data and image processing. You'll bridge R&D innovations into scalable production environments, working on cutting-edge technology while maintaining production-grade engineering standards.

• Translate research prototypes into production-grade modules for integration into Kimera, our cloud-based production processing platform
• Work closely with R&D team members to evaluate, refine, and deploy new algorithms
• Develop automation scripts and tooling to streamline scientific workflows
• Ensure code quality, performance, reliability, and documentation standards appropriate for a production environment

• Maintain and optimize AWS cloud infrastructure (EC2, S3, Lambda, ECS/EKS)
• Manage CI/CD pipelines ensuring automated testing, validation, and deployment (Bitbucket Pipelines or similar)
• Operate and troubleshoot Kubernetes clusters (EKS), including Helm chart management and cluster lifecycle tasks
• Develop and maintain infrastructure-as-code using Terraform or Cloud Formation
• Provide production support for Linux-based cloud environments
• Monitor system health using tools such as Datadog, Cloud Watch, or Grafana
• Collaborate with internal teams to ensure stable, scalable deployments of Kimera and related services

• Conduct applied research in AI/ML methods for big-data processing, computer vision, and image analytics
• Prototype new models, algorithms, and data pipelines using frameworks such as PyTorch or Tensor Flow
• Design experiments, analyze results, and iterate on research hypotheses
• Evaluate state-of-the-art methods and determine feasibility for integration into production
• Present findings internally and contribute to technology roadmaps

• A Bachelor’s Degree or equivalent experience in Computer Science or related fields.
• A problem-solving, research-oriented mindset with the ability to move between exploratory and production contexts
• Strong Python skills, especially in scientific computing (Num Py, Sci Py, Pandas) and software engineering best practices
• Experience with AI/ML frameworks (Tensor Flow, PyTorch) and image processing libraries (OpenCV, scikit-image, etc.)
• Background in computational imaging, signal processing, or applied machine learning
• Experience…