Top Software Engineer Jobs in Calgary

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

As a Senior Software Engineer, you will develop foundational services and SDKs for Speechify, optimizing functionalities and collaborating across teams to enhance user experience.

The Cloud Software Engineer will design distributed systems for observability, ensuring reliability and performance, while automating operational work and collaborating with teams.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

The role involves building self-service platform services using Go, automating operational workflows, scaling Kubernetes, and ensuring reliability in cloud environments.

Develop real-time graphics software for multi-sensor simulation in autonomous driving. Collaborate with experts to enhance rendering technology and improve simulation realism.

Design and implement .NET solutions using AI agents and GitHub Copilot within a spec-driven development process. Ensure test-first delivery, code quality, security, and performance. Collaborate with product, design, and data science, mentor junior engineers, and promote cross-team best practices and process continuity.

The role involves building and owning production systems and services, conducting code reviews, writing tests, and mentoring engineers. The position emphasizes accountability for production quality and architectural decisions in a fast-paced environment.

Develop machine learning systems to detect fraud in real-time, utilizing both supervised and unsupervised learning algorithms. Design scalable architecture and optimize data processing systems using big data technologies.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Develop, test, and deploy software solutions on Sage ERP platforms, including integration with other systems, customization, and data management.

Lead technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

Lead design and implementation of highly scalable, secure backend services and APIs. Define architecture for databases and microservices, own projects end-to-end, resolve reliability/performance issues, improve CI/CD and observability, mentor engineers, and align technical strategy with product and security requirements.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Build, maintain, and evolve Mozilla’s Internal Developer Infrastructure Platform: CI/CD, observability, Kubernetes optimization, environment bootstrapping, and cost optimization. Lead technical decisions, create Claude skills and agentic workflows to boost developer productivity, mentor teammates, write proposals, and deliver cross-functional platform features while ensuring usability, maintainability, and safe production paths.

Lead architecture and evolution of scalable, fault-tolerant backend systems powering real-time AI agents and conversation intelligence. Design data storage and retrieval, partner with ML engineers to operationalize AI, drive production performance, cost efficiency, observability, and mentor senior engineers while owning production reliability.

The role involves testing embedded systems software and desktop applications, defining testing strategies, developing protocols, and ensuring quality adherence in regulated environments.

Design and implement high-throughput database integrations and replication into ClickHouse. Improve system reliability, debug production issues using observability tools, write documentation, participate in on-call rotation, and collaborate with customers and cross-functional teams to drive product improvements.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.