Top AWS Jobs in Calgary

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

The Forward Deployed Engineer integrates Spellbook into legal workflows, managing enterprise deployments, building AI-native solutions, and enhancing user experience based on feedback.

Lead design and delivery of scalable backend features, mentor engineers, ensure operational excellence and system reliability, collaborate cross-functionally, and drive architecture and automation improvements.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Senior Site Reliability Engineer will lead service onboarding, maintain SLAs/SLOs, design secure infrastructure, automate operational tasks, and respond to incidents while ensuring system reliability and performance.

Develop and maintain cardiovascular medical imaging software on cloud platforms. Design and implement GUI workflows, backend services, and post-processing algorithms. Collaborate with developers, architects, and QA to deliver scalable, testable, and performant SaaS solutions.

Design and build scalable, high-performance web applications using Next.js, React, Vue.js, and TypeScript. Own end-to-end feature development, create reusable UI components, optimize performance (SSR/SSG, lazy loading, Core Web Vitals), ensure accessibility and security, support CI/CD and deployments, conduct automated testing, mentor junior engineers, and collaborate with Product, Design, Backend, and DevOps to define and deliver front-end architecture and features.

Own and automate the end-to-end ML lifecycle: build, deploy, monitor, test, and retire models at scale. Design production-grade, highly available ML infrastructure and CI/CD pipelines, implement governance, and collaborate with engineering and security teams.

Serve as the technical lead for strategic customers: onboard, train, troubleshoot, and drive adoption of Tailscale. Build relationships, conduct QBRs, recommend best practices, escalate product feedback, and maintain customer-facing documentation to enable long-term success and expansion.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Own and evolve cloud infrastructure across AWS/GCP/Azure, build CI/CD and containerized deployments, design multi-tenant environments, implement monitoring and IaC (Terraform/Ansible), lead data protection and threat detection, and support compliance and security audits.

Design and drive security architecture for applications, services, and infrastructure. Partner with engineering and DevOps on secure backend design, cloud and container security, CI/CD hardening, and access controls. Conduct threat modeling, risk assessments, and security reviews; integrate security tooling; enforce secure coding practices; mentor engineers; and stay current on fintech and blockchain threats and compliance standards.

Build and maintain large-scale, cloud-based detection and threat-intelligence systems. Design, implement, and ship high-throughput streaming data pipelines and production-grade APIs, mentor engineers, lead architecture and cross-functional initiatives, remove technical debt, and ensure operational excellence including on-call support and security best practices.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Full‑stack software development for Tempo flagship products: implement frontend and backend features, write tests, review code, design APIs, optimize performance and scalability, work with product, design, QA, and docs teams, and operate in a remote, collaborative environment using cloud and Kubernetes.

Develop server-side applications using Kotlin and Java, collaborate with teams to enhance Atlassian plugins, and ensure code quality through testing and reviews.

Owner of cloud infrastructure and reliability for a cloud-native platform: design and maintain Azure/Terraform infrastructure, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and support migration from legacy .NET/MSSQL to modern services.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

The Full Stack Engineer will develop and enhance a web-based dashboard platform, focusing on both frontend and backend systems, ensuring seamless data flow to AI models and clients. Responsibilities include creating user interfaces, RESTful APIs, secure data storage, and collaborating with teams on feature development.