Top Software Engineer Jobs in Calgary

As a Staff Software Engineer (iOS), you will lead iOS development, ensure scalability and maintainability, mentor engineers, and drive modernization initiatives while collaborating with multiple teams to enhance mobile platforms.

The Staff Software Engineer will lead the design and reliability of a large-scale financial data extraction platform, focusing on reducing human dependency using AI while ensuring system quality and scalability.

Lead the design and reliability of a financial data extraction platform using AI and deterministic systems to improve accuracy and reduce human dependency.

As a Staff Software Engineer at PermitFlow, you'll architect and develop full-stack solutions, lead teams, and contribute to system architecture and design, focusing on construction management platforms.

As a Senior Data Engineer, you'll design and maintain a cloud-native data platform that processes large-scale audience data, ensuring data quality and performance while supporting machine learning workflows and business metrics.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

Seeking an experienced Software Development Engineer in Test to design and implement automated testing. Responsibilities include developing test frameworks, integration tests, and managing quality metrics using AI tools.

As a Senior Frontend Engineer, you'll develop UI features for the AI voice platform, working with React and TypeScript while collaborating on backend systems and leading projects from concept to launch.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

The Principal Software Engineer at Snout will define architectural direction, build features across the stack, and enhance team effectiveness, ensuring quality and performance.

As a Senior Software Engineer, you'll develop and enhance the Snout web platform, collaborate with teams, and lead technical projects while ensuring performance and reliability.

The Senior Software Engineer will own feature development from design to deployment, focusing on user feedback and collaboration with ML researchers.

As a Senior Software Development Engineer in Test, you will design automated test frameworks, execute tests for payment workflows, and ensure high-quality integration with ERP systems.

As a Senior Software Engineer on the Email team, you'll develop features for customer engagement, resolve reliability issues, and lead projects using TypeScript, Ruby, and Rust while collaborating closely with cross-functional teams.

As a Senior Software Engineer, you'll develop scalable solutions for email services, collaborating on features, conducting code reviews, and ensuring system reliability.

The Senior Staff Software Engineer will lead backend architecture initiatives, optimize performance, and mentor team members utilizing modern technologies like Docker and TypeScript.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.

As a Senior Software Engineer for WebExtensions, you'll implement APIs, improve extension reliability, debug issues, and collaborate across teams while supporting extension developers.

Lead multiple cloud engineering teams to deliver scalable, cloud-native platform services for asset management and workflow orchestration, ensuring performance and reliability.

Develop core backend components for a blockchain network, focusing on reliability and scalability, mainly using Rust. Ensure code quality through testing and debugging.

Optimize and integrate LLMs across the stack from GPU kernels to Kubernetes deployments. Improve inference performance via kernel development, algorithmic techniques (quantization, speculative decoding), and contributions to open-source LLM engines like vLLM. Drive hardware utilization, profiling, and enterprise-grade scalable implementations.

Design, build, and secure scalable distributed backend systems for AI workloads. Implement microservice-based architectures, manage Kubernetes-based deployments, apply IaC and DevOps practices, and collaborate with performance and solutions engineering to optimize model deployment and infrastructure cost, security, and scalability.

Build and own fullstack features across UI, backend APIs, and orchestration interfaces for a global GPU inference platform. Implement real-time streaming, analytics, deployment workflows, developer SDKs/CLI, and observability integrations while collaborating with founders and infrastructure teams to turn distributed systems into user-friendly products.

The role involves developing and maintaining scalable cloud-based services, enhancing system reliability, automating cloud infrastructure, providing technical leadership, and improving operational excellence.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.