Top AWS Jobs in Calgary

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

Lead Snowflake's GTM partnership with AWS by developing strategy, accelerating co-sell revenue and joint pipeline, enabling field engagement, driving AWS Marketplace and Partner Central adoption, aligning solutions with AWS priorities, and delivering scalable enablement and escalation support across cross-functional teams.

As a Senior Fullstack Engineer, you'll develop and enhance products, architect scalable solutions, and mentor team members while ensuring performance and security for hotel integration systems.

The Senior Fullstack Engineer will develop and enhance integration products, architect scalable solutions, and refactor legacy systems while mentoring team members and collaborating cross-functionally.

As a Senior Fullstack Engineer, you'll develop and enhance products for hotel integrations, architect scalable solutions, migrate to microservices, and ensure performance and security.

As a Senior Fullstack Engineer, you will develop and enhance Cloudbeds' products, design scalable solutions, lead technical discussions, foster team collaboration, and migrate core components into microservices while ensuring exceptional performance and security.

As a Senior Fullstack Engineer, you will enhance Cloudbeds' products by architecting scalable solutions, focusing on performance, security, and integrating with major distribution channels, while mentoring team members and contributing to microservices migration.

As a Senior Fullstack Engineer, you'll design and implement backend features, build frontend experiences, ensure security, and lead technical discussions, contributing to microservices migration and mentoring team members.

The Principal Developer will lead the technical direction of the Exposure Management product area, contribute to architectural decisions, mentor engineers, and ensure high engineering standards across teams.

Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.

Build and own a versioned, documented gold data layer from lakehouse silver tables for AI research. Transform, validate, and productize multi-modal datasets and pipelines (Databricks/PySpark) to support model development, evaluation, and production ML/LLM workflows while ensuring data quality, provenance, and regulatory controls.

Develop and maintain PHP-based backend services for the Booking Engine squad. Design and build APIs, model availability/pricing/reservations data, ensure performance, scalability, and reliability at scale, migrate systems toward microservices and event-driven architectures, lead technical decisions, mentor engineers, and promote testing and automation.

Build and evolve the guest-facing booking experience using React and TypeScript. Collaborate with product, design, and backend to ship performant, accessible, and well-tested features. Improve conversion through profiling and experimentation, lead technical discussions and frontend architecture, mentor teammates, and champion engineering best practices across testing, performance, and accessibility.

Build and scale backend services for the Booking Engine: design and implement PHP features and APIs, model availability/pricing data, improve performance, migrate to microservices/event-driven architecture, ensure reliability at scale, mentor engineers, and drive backend architecture and best practices.

Design, build, and operate core backend services for an AI-native context management system: ingestion, indexing, retrieval APIs, multi-tenant SaaS features, and agent-facing integrations. Define architecture, ensure observability, iterate from prototype to production, and collaborate across product and infrastructure while owning service reliability and technical direction.

Clio seeks a Senior Software Developer to build innovative voice and messaging solutions. Responsibilities include working in agile teams, optimizing performance, and mentoring developers while leveraging Node.js and AWS technologies.

The Lead Knowledge Engineer develops ontologies, knowledge graphs, and semantic artefacts, influencing data strategies and providing leadership for complex data integration projects.

Design, build, and operate scalable infrastructure and delivery pipelines for a product suite. Lead containerization (Docker, Kubernetes), multi-cloud deployments (AWS/GCP/Azure), CI/CD best practices, and incident-driven improvements. Mentor teams, act as escalation for operations, participate in weekend support rotations, and drive reliability, security, and automation.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Lead QA for an Agentic AI platform: define and execute testing strategy, implement automation, validate LLM outputs and conversational workflows, oversee functional/integration/regression/performance testing, integrate CI/CD, mentor QA engineers, and promote quality best practices across teams.

The Project Manager will lead large-scale IT application implementations, manage cross-functional teams, and drive Agile execution while overseeing budgets and stakeholder engagement.

As a DevOps Engineer, you'll build and maintain scalable infrastructure, manage CI/CD pipelines, and optimize systems for performance and reliability in a fast-paced environment.

Design, build, and maintain scalable, high-performance web applications using React, Node.js, and AWS. Collaborate with cross-functional teams on architecture, implement backend microservices, apply containerization and orchestration, enforce best practices, and solve complex problems. Mentor team members and participate in special projects.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.