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Job Description Job Description The Team / Client You will be part of a engineering department responsible for diving the global commercial availability. This is a technical, multi-cloud environment, seeing thousands…
Part-time remote contractor building reinforcement learning environments to evaluate AI models on software tasks using MCP tools, handling bug fixes, feature development, refactoring, and performance optimization.
Build reinforcement learning environments for software engineering tasks using Model Context Protocol (MCP) tools, designing reproducible environments, deterministic verification, and reference solutions for bug fixing, refactoring, and performance optimization.
Senior Backend Engineer (contractor, ~15 hrs/week) building reinforcement learning environments to evaluate AI models on software tasks like bug fixing, refactoring, and feature development using MCP tools.
DevOps engineer designing and managing Azure/AWS cloud infrastructure, building CI/CD pipelines with GitOps, administering Kubernetes clusters, and optimizing cloud costs — 80% remote with one weekly office day in Montreal.
Software Developer & DevOps Engineer at an Elite FinTech Firm, building zero-downtime low-latency infrastructure, automating tasks, and building CI/CD pipelines using Kubernetes (ideally Rancher), Python, and tools like Ansible, Terraform, Puppet, Docker, and Prometheus.
Senior Backend Engineer at PlayStation's Waterloo startup-style team, designing and building scalable backend services and APIs (GraphQL/REST) for new mobile and web consumer experiences using Node.js, TypeScript, PostgreSQL, and AWS.
Backend developer building Python/Django services for mobile apps and secure web applications in Saskatoon, with mentoring and project planning responsibilities.
Senior DevOps consultant leading the migration from AKS to Azure Red Hat OpenShift, automating CI/CD pipelines, and hardening security for containerized Java microservices on Azure.
Senior DevOps developer responsible for migrating container environments to Azure Red Hat OpenShift, building automated tools and CI/CD pipelines, and securing containerized Java/Spring Boot microservices on Azure Kubernetes/OpenShift platforms.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
DevOps Engineer responsible for CI/CD pipelines, Azure infrastructure automation, Kubernetes orchestration, and DevSecOps practices including security scanning and monitoring.
DevOps Engineer automating and optimizing AWS cloud infrastructure, managing CI/CD pipelines (GitLab CI/CD, Azure DevOps), and using IaC tools like Terraform to ensure high availability across production, QA, and dev environments for a data-focused consultancy.
DevOps Engineer in Toronto (hybrid) automating and optimizing infrastructure for high availability and scalability, working with CI/CD pipelines, monitoring, and IaC using Terraform, CloudFormation, and CloudWatch on Linux/RHEL.
Design and manage Azure infrastructure using Terraform, build CI/CD pipelines, and administer Azure Databricks workspaces in a hybrid role supporting a large-scale enterprise data platform.
Design and maintain cloud infrastructure in Azure/AWS, build CI/CD pipelines, manage Kubernetes clusters, and support multi-tenant SaaS environments using Terraform, Azure DevOps, Argo CD, and observability tooling.
Platform/DevOps Engineer working on low-latency Linux infrastructure for an elite fintech trading firm, designing and automating scalable deployments across private and public cloud environments.
Senior Backend Engineer owning AI features end to end—building APIs, tool-using agents, and RAG pipelines—for a nonprofit grant discovery platform, using Python and LLMs.
Build high-performance backend services using Core Java, Spring Boot, and Kafka in a hybrid role focused on real-time data and cloud-native architectures.
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