Top AWS Jobs in Calgary

As a Senior Software Engineer at Babylist, you'll develop systems for a $1B marketplace, focusing on revenue, product experience, and platform infrastructure. Collaboration with product managers and mentoring of team members are key aspects of the role.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

Lead the Continuous Integration (CI) and Build Infrastructure team, optimizing development pipelines, systems design, and team collaboration for software quality and reliability.

The role involves designing, developing, and maintaining backend systems, collaborating with teams, and ensuring high availability and performance.

The Cloud Platform Engineer will automate AWS infrastructure deployment, maintain CI/CD pipelines, enhance observability tools, and support developer operations.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

The Security Operations Manager leads security incident response, oversees operations processes, manages a remote team, and collaborates across departments to enhance security measures.

Lead the Identity & Security Product Management team, defining product strategy for IAM and security features, collaborating with stakeholders and driving compliance and security initiatives across MongoDB products.

The candidate will act as the tech lead, managing projects and driving engineering quality, while contributing code and mentoring team members.

Lead R&D FP&A: own forecasting, budgeting, variance analysis, and cloud (AWS) cost modeling; evaluate AI investments; build decision-ready models; support executive and board reporting; improve forecasting, tooling, and data quality.

As a Senior Software Engineer, you will design and build a new lifecycle orchestrator service, mentor engineers, and drive technical strategies while improving engineering standards and processes.

The Artificial Intelligence Engineer at Precision AI will lead AI/ML projects, develop and optimize machine learning models, and ensure technical quality while mentoring junior engineers.

Develop and maintain data solutions and AI applications, optimize pipelines, and collaborate with cross-functional teams to deliver impactful results.

Develop high-performance cloud software for preconstruction services, collaborating in an agile team to innovate and improve software processes.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.

The Analytics Engineer will lead data visualizations, manage analytics lifecycles, mentor juniors, and help clients adopt best data practices, emphasizing Sigma and business intelligence solutions.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

Lead and evolve internal IT across a distributed, international team. Own application lifecycle, vendor and cost management, security and SOC 2 compliance efforts, onboarding/offboarding/process standardization, and helpdesk leadership. Implement scalable systems (HRIS/PSA), optimize SaaS usage, and partner cross-functionally to improve operational reliability and adoption.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

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.

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

Design and implement integrations across enterprise systems, leveraging AI tools and automation frameworks. Develop Python scripts and collaborate with stakeholders to enhance workflows and data accessibility.

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.

The role involves architecting Agentic AI products, driving optimization algorithms, developing AI frameworks, and managing the full ML lifecycle while collaborating with cross-functional teams.