Top AWS Jobs in Calgary

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.

Lead incident response efforts for security incidents, manage investigations, improve automation of workflows, and enhance cloud security operations at Affirm.

Intermediate Software Developer needed to build and scale an AI-driven digital health platform, focusing on software development and collaboration in a cross-functional team.

The Systems Engineer will design, build, and maintain AWS infrastructure, enhance CI/CD pipelines, and mentor team members while focusing on cloud optimization and automation.

Responsible for building robust infrastructure to support a development pipeline, ensuring quality gates are in place, and optimizing tools for efficiency. Requires collaboration with various teams to improve deployment and validation processes.

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.

Design and implement CIAM backend services for registration, authentication, and account management across B2C and B2B platforms, utilizing security standards and automation practices.

The Data Engineer I role involves building data solutions, monitoring data systems, collaborating with teams, and improving platform performance while developing skills in data engineering.

The Manager, IT Systems will lead integration and automation engineers, managing the technical roadmap, fostering collaboration, and enhancing operational efficiency through automation.

The QA Test Developer will maintain the automation framework and perform various testing types while ensuring quality through collaboration with development teams. Responsibilities include automated test writing, integration into CI/CD, debugging, and promoting best practices in software development processes.

Lead data and AI transformation programs, build modern data platforms, and deliver solutions leveraging machine learning and AI for business growth.

Seeking a Data & AI Architect to design and implement enterprise-grade data and AI solutions, lead teams, and ensure architectural integrity.

The Intermediate Platform Developer will develop and maintain platform infrastructure, microservices, and databases, while ensuring system performance and reliability. Responsibilities include code development, collaboration with teams, automating tasks, and documentation.

The role focuses on integrating with external services, developing AWS-based APIs, automating tasks, and ensuring data reporting accuracy. Collaboration with cross-functional teams and maintaining robust solutions are key responsibilities.

The AI Engineer will design, develop, and deploy AI solutions, focusing on building and optimizing ML models, collaborating with teams, and mentoring junior engineers.

The Platform Software Developer designs and maintains software for cardiac imaging products, focusing on AI capabilities, platform integration, and secure solutions while collaborating with cross-functional teams.

The Senior Software Engineer will lead architectural design, develop APIs, mentor junior developers, improve CI/CD processes, and drive performance enhancements for mission-critical training applications.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

Oversee development processes for cloud services, manage resources, coordinate product releases, drive technical discussions, and collaborate with cross-functional teams to ensure successful project completion.

The role involves penetration testing of cloud and on-prem infrastructure, internal access exploitation, and red team operations, requiring advanced cybersecurity skills.