Top AWS Jobs in Calgary

Lead marketing strategy and execution for strategic technology alliances, focusing on AWS, to drive awareness, pipeline, and revenue through integrated campaigns and partner engagement.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

The Senior Sales Engineer will partner with customers to solve data challenges, educate them on WEKA's solutions, and provide technical support.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

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 Senior DevSecOps Engineer will enhance cloud security, manage vulnerabilities, implement secure CI/CD practices, and support incident response efforts.

The Staff Software Engineer coordinates engineering activities, leads projects, mentors others, ensures high-quality technical solutions, and represents the company externally.

Manage the lifecycle of Redis software Kubernetes products, collaborating with engineering, partners, and internal teams to define product requirements and integrate solutions.

Lead cross-functional infrastructure programs, optimize AI systems, and improve scalability and performance in a hybrid technical environment.

The role involves overseeing the development of cloud infrastructure, providing leadership, collaborating with teams, and writing efficient, maintainable code.

The role involves designing and deploying AI applications, leading development projects, and mentoring engineers while collaborating with experts in a healthcare-focused environment.

The Senior Cloud Architect, ML/AI will lead the design and implementation of ML and Generative AI solutions on AWS, acting as a trusted advisor while optimizing AI workloads and driving product adoption.

Design, build, deploy, and maintain scalable backend services and infrastructure for a fleet management platform. Collaborate with cross-functional teams and customers, own monitoring and high-availability operations, identify bottlenecks, and drive technical direction balancing speed and maintainability.

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

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

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

The Senior Software Engineer will develop and enhance Cribl Search, focusing on backend functionalities and distributed systems, collaborating as part of a remote team.

Lead and scale the organization's AI strategy, teams, and AWS-based AI platform. Drive generative/agentic AI, recommendation/personalization, MLops, governance, metrics, experimentation, and cross-functional adoption to deliver measurable business outcomes.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

Lead the DevOps function to define and execute a modern strategy while guiding engineers in adopting DevOps practices across multiple product lines.

Design and optimize backend systems using PHP, lead architecture discussions, mentor junior developers, and collaborate with cross-functional teams to improve system reliability.

Design, implement, and maintain secure internal IT systems; own identity and access management; manage endpoint security and MDM; automate IT workflows; support onboarding/offboarding; aid security operations and compliance; evaluate tools and document processes.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.