Top Software Engineer Jobs in Calgary

Designs, develops, and deploys scalable deep learning systems for 3D medical image segmentation, geometric analysis, and physiological prediction. The role involves writing tested Python or C++ code, owning end-to-end ML workflows, applying biomedical data expertise, integrating models into software products, and mentoring junior engineers. Collaboration with scientists, product leaders, and architects is required. Preferred experience includes cloud platforms and MLOps tools such as Docker, Kubernetes, MLflow, and CI/CD.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and operate infrastructure security platforms centered on workload identity, service-to-service authentication, authorization, and short-lived credentials. Replace static secrets with identity-based systems, develop identity-authenticated proxies and APIs, and unify authorization policy management. Partner with platform and application teams to drive adoption, migrate legacy systems, and ensure reliable production infrastructure with strong developer experience.

Lead development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Drive the full software lifecycle, apply cloud-native architecture, conduct design reviews, build AI-driven applications, and integrate machine learning components. Mentor engineers, influence technical decisions, collaborate with stakeholders, define requirements, track success metrics, and promote engineering excellence through prototyping, continuous improvement, and knowledge sharing.

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Develop and manage mission-critical infrastructure services for Akamai’s cloud lab platform. Build deployment stacks for test datacenters, design observability and monitoring solutions, improve deployment and configuration performance, and collaborate with engineering, architecture, and site reliability teams. The role requires strong Infrastructure as Code, Python, REST API, container orchestration, development-environment tooling, and relational database experience.

Develop and manage mission-critical infrastructure services for cloud development and testing. Build Python backend services, APIs, automation, virtual machine environments, reservation systems, reporting tools, and resilient test frameworks. Improve reliability, scalability, deployment performance, and observability across physical and virtual infrastructure. Provide technical leadership and mentorship while collaborating with global Development and SRE teams.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.

Build and operate reliable distributed services and media-processing infrastructure for capturing, ingesting, and processing meeting audio, video, metadata, and real-time events. Develop observability and operational tooling, investigate complex production issues, own systems through rollout and iteration, integrate with third-party platforms, and use AI coding agents to improve engineering workflows.

Build innovative software products in the Special Projects Division addressing public health, agriculture, education, and aid-related challenges in Sub-Saharan Africa. Responsibilities include designing software architectures, developing on UNIX-based platforms, participating in code reviews, using disciplined version control, collaborating with teams, and potentially applying Django, React, Android, or PyTorch. The role may involve travel to Africa to understand local contexts.

Designs and scales distributed platform services, APIs, microservices, and React applications for healthcare technology platforms. Owns architecture, reliability, performance, testing, CI/CD, observability, infrastructure, and production support. Partners with product and clinical teams, mentors engineers, leads technical decisions, and uses AI-augmented development tools. Requires extensive software engineering experience with cloud-native systems, databases, REST APIs, frontend frameworks, and scalable SaaS platforms.

Architects and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.

Build backend services and APIs primarily in Python, with frontend contributions in React and TypeScript. Develop experimentation platforms, near-real-time data ingestion and processing, AI-powered workflows, partner integrations, RBAC, and other product capabilities. Collaborate with product managers, designers, data scientists, and senior engineers while delivering production-ready features across backend, frontend, pipelines, and infrastructure.

Build and maintain reliable data pipelines, integrations, APIs, and event-driven or batch processing systems. Transform data from advertising, commerce, and order management platforms while improving monitoring, data freshness, performance, security, and scalability. Partner with product, infrastructure, and data engineering teams to expand the integration platform and onboard new sources in a cloud-native, multi-tenant environment.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Design and build scalable backend systems, APIs, data models, event-driven services, experimentation platforms, and personalization systems. Partner with Product, Data Science, Analytics, and Design teams to support customer acquisition and engagement. Establish secure, observable, high-performance engineering practices, mentor junior engineers, and participate in monitoring, on-call, and operational support.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.