Top AWS Jobs in Calgary

Lead a small engineering team to design, build, and operate PlanHub's email delivery platform. Own architecture, cloud-native infrastructure (AWS, Terraform/OpenTofu, ECS), observability, reliability, and AI-assisted development practices. Mentor engineers, partner with product and infra teams, and drive scalable, fault-tolerant systems to support critical transactional email workflows and business needs.

Design, build, test, and maintain enterprise C#/.NET applications within agile teams. Develop scalable REST APIs and data models, write automated unit tests, enforce SOLID/OOP practices, mentor engineers, participate in planning/code reviews, and communicate with clients to deliver high-quality solutions.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

The Senior Sales Engineer will partner with customers to provide technical education on WEKA's solutions, assist with evaluations, and deliver presentations and demos, acting as a technical adviser while contributing to technical documentation.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

The Engineering Manager will lead a fullstack team in developing and scaling ClickUp's core products, focusing on technical leadership, team management, and product development to enhance performance and user experience.

Lead and grow strategic hyperscaler and technology partner relationships (AWS, Azure, Google Cloud, CRM/CCaaS platforms). Define alliance strategy, build co-sell/co-market programs and marketplace listings, drive partner-sourced pipeline and revenue, coordinate cross-functional execution, manage executive alignment, and track partnership performance using data-driven scorecards.

Deliver front-office investment technology consulting: requirements, workflow design, system configuration, integration, testing, and handover. Provide subject-matter expertise on OMS/EMS/PMS platforms, data architecture, cloud integrations, and program governance to ensure timely, on-budget transformations.

The Infrastructure Engineer designs and maintains distributed systems, writes backend services in TypeScript, and operates cloud infrastructure, ensuring reliability and scalability.

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

As a Site Reliability Engineer, you'll enhance system reliability, collaborate on production readiness, define SLIs/SLOs, and improve incident response.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

Design, implement, test, and maintain TypeScript-based frontend (React) and backend services. Build and operate APIs and cloud infrastructure (IaC), participate in on-call incident response, write automated tests, perform code reviews, mentor junior engineers, and collaborate with product, design, and security teams to deliver scalable security features.

Build and maintain production-scale infrastructure and automation: CI/CD, release automation, testing environments, monitoring and incident response. Improve scalability, tooling, and developer workflows; collaborate with engineers and QA and mentor peers to raise engineering infrastructure quality.

Design, build, and scale backend services and APIs (checkout, payments, scheduling, accounts) using Python, FastAPI, and PostgreSQL. Integrate third-party platforms, ensure resiliency and observability with Datadog, optimize performance, write automated tests, and mentor engineers while partnering with Product and Design to deliver customer-facing features.

Lead development of digital pathology AI models using whole-slide image data to predict clinical outcomes and morphologic features. Drive dataset selection and annotation, coordinate and mentor junior scientists, partner with bioinformatics, statistics, and clinical experts, produce analyses and visualizations for publication, and manage cross-team project execution to build diagnostic products.

Senior Sales Engineer for West Canada supporting pre-sales activities: build technical business cases, design solutions and architecture diagrams, create demos/POCs/presentations, educate partners, apply AI-enabled tools for discovery and demos, and expand opportunities within accounts. Requires strong networking and security background and frequent field travel.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Design and deliver enterprise-grade AI/GenAI solutions on Salesforce or ServiceNow. Lead RAG pipelines, LLM workflows, NLP automation, and vector retrieval integrations. Architect scalable API/microservice integrations, ensure performance, security, and reliability, and define AI governance and guardrails. Collaborate with product, engineering, and customers through discovery, workshops, and demos to operationalize AI for Field and Customer Service workflows.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Provide consultative engineering and high-tier support to enterprise customers: design, architecture, integration, implementation, performance testing, migrations, and hands-on troubleshooting. Handle L1-L3 support, collaborate with Product/Engineering/Sales, produce documentation and benchmarks, mentor hires, and support on-call and regional onsite needs (up to 35% travel).