Top Software Engineer Jobs in Calgary

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Develop full-stack features using C#/.NET backend services and TypeScript/Angular front-end applications. Own features from design through production, contribute to technical direction, mentor developers, maintain code quality, troubleshoot production issues, write secure code, design SQL schemas and migrations, and participate in agile development, testing, and code reviews. Use AI-assisted development tools critically and support data migration, integrations, cloud infrastructure, and messaging systems as needed.

Design, build, deploy, and maintain scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality with automated testing, monitor rollouts, collaborate with UX/PM, mentor engineers, and partner across teams to improve functionality and reliability for customers.

As a Senior Full Stack Software Engineer, you will build and improve products, create user interfaces and APIs, and collaborate with various teams to enhance the customer experience.

Design, develop, test, deploy, and operate scalable Java backend services, APIs, microservices, databases, and event-driven systems. Own projects across the software lifecycle, collaborate with product and infrastructure stakeholders, conduct code reviews, and build testing and observability. Troubleshoot production issues, participate in incident response, and improve system reliability, performance, scalability, and maintainability.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.

Lead technical strategy and execution for the shared mobile app infrastructure, build and maintain React Native and native modules, improve observability, CI/CD, releases and developer tooling, define standards and runbooks, mentor engineers, coordinate cross-functional trade-offs, and ensure production availability and quality across mobile products.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Lead architecture and hands-on development for a zero-to-one, real-time content platform. Build scalable backend services, collaborative editing and synchronization systems, frontend visual editing experiences, APIs, publishing workflows, and developer extension layers. Partner with product and design, establish engineering standards, make build-versus-buy decisions, mentor engineers, and engage customers to validate architectural choices.

Build and deploy internal AI tooling, agents, integrations, and workflows that improve productivity across engineering, research, and business teams. Evaluate emerging AI tools and models, develop observability and responsible-use guardrails, and partner with stakeholders to prototype and scale solutions. Drive adoption through documentation, enablement, and hands-on support while integrating AI into autonomy, simulation, ML training, and business workflows.

Build and deploy highly reliable endpoint security agents for Windows, macOS, and Linux. Lead technical execution, system design, architecture documentation, code quality, performance, and reliability initiatives. Mentor engineers and collaborate with Product, Security, and DevOps teams. The role requires strong systems programming, operating system internals, cybersecurity, threat detection, security data processing, and technical leadership experience.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, and integrations, along with AI- and LLM-powered pipelines for manifest generation, test scaffolding, and validation. Create quality tooling, evaluation loops, and security gates while contributing to system architecture and roadmap planning. Collaborate with distributed engineering teams across North America, Europe, and India.

Design, scale, and operate high-performance software systems powering sportsbook, casino, financial ledger, regulatory, and risk-management functions. Responsibilities include developing GraphQL APIs and gRPC services, optimizing databases and production performance, building integrations and migrations, monitoring services, mentoring engineers, and leading complex technical initiatives. The role requires strong distributed-systems, database, containerization, testing, asynchronous processing, and production operations experience.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Design, build, test, and support enterprise software, APIs, automation workflows, and developer-facing platform capabilities. Develop secure, reliable, performant cloud-native solutions primarily on Azure and GCP. Contribute to architecture, engineering standards, testing, CI, and code reviews while collaborating across teams. Mentor colleagues through technical guidance and knowledge sharing, and help create self-service administration and developer productivity tools for the Maestro platform.

Develop full-stack enterprise application features using TypeScript, React, C#, and .NET, with emphasis on user experience, performance, scalability, and maintainability. Design and present technical solutions, build automated tests, prototype solutions, collaborate with engineering, product, and UX teams, and adopt emerging technologies including generative AI. The role also involves leading complex feature development, creating reliable APIs, and mentoring junior engineers.