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.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior QA Automation Engineer, you'll design and execute automated tests, maintain test frameworks, and utilize AI tools to enhance testing efficiency while collaborating with product and engineering teams to ensure quality in web applications and APIs.

The role involves owning backend services for go-to-market efforts, building APIs and infrastructure, enhancing code quality, and mentoring engineers.

The Backend Engineer will build a multi-cloud inference platform and manage distributed systems for AI model deployment while ensuring operational excellence and low toil services.

As a Senior Site Reliability Engineer, you will own AWS infrastructure, ensure reliability, and enhance deployment processes, primarily working with Kubernetes and Terraform.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

As a Senior Machine Learning Engineer, you will create machine learning solutions, optimize models, and lead client projects using cloud technologies.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

The role involves designing and implementing scalable backend services using Node.js and AWS, ensuring data integrity through SQL, optimizing system performance, and collaborating effectively with cross-functional teams in an agile environment.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.

Develop and maintain web applications using Laravel and VueJS. Collaborate with founders and developers, write scalable code, and perform testing and optimization.