Top AWS Jobs in Calgary

Design, build, and maintain scalable data pipelines, optimize Databricks/Spark and Delta Lake architectures, deliver trusted datasets for analytics and ML, implement observability and data quality, and drive platform architecture and team mentorship.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

The Mission Engineer bridges communications physics and software orchestration, integrating and optimizing system models and software for wireless networks, diagnosing issues in live environments.

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.

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.

Design and evolve cybersecurity operations architecture, lead detection engineering and log ingestion strategies across cloud and SaaS, implement AI-augmented detection and response pipelines, conduct security architecture reviews, improve incident response and threat hunting, mentor SecOps teams, and advise leadership on operational risk and tooling decisions.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Senior Software Security Engineer responsible for threat modeling, security architecture reviews, code and penetration testing, integrating SAST/DAST/SCA into CI/CD, triaging vulnerabilities, driving secure SDLC/DevSecOps practices, incident response, and ensuring compliance with industry security standards.

Lead security engineering across web apps, APIs, cloud (AWS/OCI), Kubernetes, and on-prem systems. Build CI/CD security, secure genomic and PHI/PII pipelines (HIPAA), run monitoring and incident response, prepare for HIPAA/SOC2/ISO27001 audits, perform pentesting/vulnerability discovery, improve logging/SIEM, and drive remediation with engineering and DevOps while raising company-wide security awareness.

Work with the security team to triage vulnerabilities, operate vulnerability management, audit and refine IAM and access controls, improve CI/CD security checks, tune and automate SIEM alerting and log ingest, support security exercises, research security tools, and document findings.

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.

Lead and grow a platform engineering team focused on infrastructure, SRE, and DevOps. Set platform architecture and roadmap, oversee cloud infrastructure, CI/CD and operational tooling, drive reliability and incident management, and build AI-powered internal tools to improve developer productivity while partnering with security, compliance, and product teams.

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.

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.

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.

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.