Top Software Engineer Jobs in Calgary

Lead the architecture, development, and delivery of scalable backend systems, APIs, data pipelines, and services supporting global 3D and computer vision applications. Drive technical direction, system performance, resiliency, observability, and maintainability. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and team growth, and shape engineering culture and long-term technical vision.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.

As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.

Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.

As a Senior Software Engineer, you'll own product features, design scalable systems, mentor teammates, and ensure engineering excellence, focusing on real-time workflows for the Dialer team.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.

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.

Senior technical leader responsible for designing, building, and operating scalable full-stack payroll systems. Lead architecture, microservices, cloud infrastructure, CI/CD, reliability, monitoring, and incident response. Mentor engineers, collaborate with product and DevOps, and research AI-driven tooling to boost team productivity.

Develop and maintain full-stack payroll features end-to-end, fix bugs and reduce tech debt, participate in code reviews, collaborate across engineering, and use AI tools to accelerate development and quality.

Design and deliver scalable full‑stack features, own cloud infrastructure using IaC, ensure service reliability and performance, shape component architecture, and mentor engineering teammates.

Lead technical strategy and architecture for customer-facing AI products and the underlying platform. Author architecture decision records, set guardrails for agentic workflows, define eval/observability/persistence standards, and mentor engineers. Drive platform vendor decisions with cost models, design large-scale distributed systems integrating AI and product stacks, and own responsible AI, security, and compliance for payroll and tax reporting.

Design, build, and operate a cloud-native data and ML platform handling billions of events. Own end-to-end pipelines, feature stores, model training/serving, observability, and data product SLAs. Apply distributed systems, MLOps, and LLM/agentic systems to ensure reliable, low-latency access to features and production models with business-focused impact.

Design, build, and maintain scalable, high-performance web applications using React, Node.js, and AWS. Collaborate with cross-functional teams on architecture, implement backend microservices, apply containerization and orchestration, enforce best practices, and solve complex problems. Mentor team members and participate in special projects.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Lead design and implement end-to-end features across frontend and backend for a data analytics platform. Build React/TypeScript UIs, backend services (JVM languages/Python/GraphQL), work with Postgres, cloud and distributed systems, collaborate with Product and UX, mentor engineers, improve processes, and adopt new technologies including AI to accelerate development.

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.

Designs, builds, and evolves scalable backend systems for a live mobile game. Responsibilities include supporting live-ops and game releases, leading incident management and reliability improvements, driving backend technical roadmaps, delivering integrated server-client features, mentoring engineers, coordinating with cross-functional teams, and improving code quality, performance, and operational readiness.

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.

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.

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

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.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.