Top AWS Jobs in Calgary

Lead security product strategy and roadmap for data security features (IAM, encryption, governance, auditing). Partner with engineering and cross-functional teams to define requirements, KPIs, and deliverables that deepen customer trust and drive business outcomes in enterprise and regulated industries.

The Software Engineer 3 will design, build, and operate backend services for Cloud Payments, focusing on large-scale distributed systems, collaborating with teams to enhance billing and payment capabilities, ensuring system reliability and customer experience.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

Provide technical support for Imprivata products, diagnosing issues, creating knowledge articles, and maintaining customer relationships. Manage case details using Salesforce and collaborate with teams for resolution.

As a Senior Software Engineer at DraftKings, you will develop scalable backend systems and APIs, deliver production-ready code, and ensure system performance while mentoring peers.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As Sr. Platform Engineer, you will develop tools and frameworks for Aha! engineers, optimize performance, and manage AWS infrastructure.

Provide technical support to clients using SDK products, troubleshoot issues, document solutions, and enhance customer satisfaction with Apryse’s technology.

The Staff Software Engineer will lead IAM technology, architect scalable authorization systems, ensure service-level outcomes, and mentor other engineers.

Lead and deliver streaming infrastructure initiatives: design and scale real-time data pipelines, collaborate with product and stakeholders, ensure operational availability and observability, drive code/design quality, mentor engineers, and own quarterly team goals.

As a Sr. Security Engineer, you'll advise on security requirements, build trust with customers, and collaborate on technical risk mitigation throughout sales processes.

Lead and deliver end-to-end data science initiatives including design, deployment, and monitoring of ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models into production, set modeling standards, mentor team members, and maintain reliable ML pipelines.

Build, deploy, and monitor advanced statistical and machine learning models (credit risk, pricing, collections, fraud). Partner with cross-functional teams to integrate models into production, produce production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Security Engineer will lead threat modeling efforts, detect risks, collaborate with teams, support vulnerability remediation, and enhance compliance processes.

Lead the Lakehouse Analytics team, overseeing storage services, managing large-scale data systems, and mentoring engineers while collaborating across engineering functions.

Design and implement a distributed query optimizer for MongoDB: research query systems, architect and build features to improve query performance, collaborate across teams, mentor engineers, and drive long-term roadmap and production-quality changes in a large C++ codebase.

The Senior Product Security Engineer collaborates with product and engineering teams to embed security into the product lifecycle, conducts threat modeling, reviews code, and identifies vulnerabilities.

The Senior Software Engineer will design, develop, and launch backend systems, support API lifecycle, and help manage team processes in a collaborative environment.

The Senior Software Engineer will build, improve, and operate backend developer productivity infrastructure, design scalable solutions, and support internal engineers while collaborating with leadership on product vision.

The role involves developing secure backend systems, collaborating on product development, and ensuring the availability of technical artifacts while engaging in team growth activities.

The Software Engineer will design and build solutions for Compliance and Fleet management, focusing on scalability and leveraging AI tools to enhance productivity.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

You will design, develop, and launch backend systems, APIs, and collaborate with cross-functional teams to support product development and operations.

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