Top Engineering Jobs in Calgary, AB

Develop and scale backend streaming and data infrastructure using technologies such as Kafka, Flink, AWS, and Kubernetes. Design, launch, test, and maintain distributed systems, monitor service availability, participate in on-call support, collaborate with product and engineering stakeholders, review code, and contribute to technical planning and team development.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Set technical strategy for backend identity decisioning systems, lead major engineering initiatives, and ensure highly available operations. Partner with product, design, and analytics teams; establish coding, architecture, monitoring, testing, and on-call standards; communicate technical decisions; and mentor engineers. Build and scale distributed systems supporting KYC, user lifecycle management, and identity decisions across international markets.

Build and launch backend identity decisioning systems that validate consumer identity and satisfy KYC requirements. Collaborate with Product, Compliance, Auth, Fraud, and engineering teams; break projects into deliverable phases; write tested, extensible code; monitor system metrics and availability; participate in on-call support, code reviews, interviewing, and team development.

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 improve reliable, scalable frontend experiences for Affirm’s pre-checkout products, including Affirm.js, promotional messaging, experimentation, and developer-facing tooling. Use browser debugging, monitoring, metrics, and testing tools to maintain accessible, performant cross-browser experiences. Collaborate with engineers and stakeholders, contribute to code reviews, troubleshoot operational issues, and write clear, well-tested, extensible code.

Own and deliver high-availability authentication, verification, and fraud experiences across web, backend, and mobile interfaces. Lead quarterly goals, technical planning, system delivery, code quality, operational availability, and on-call support. Collaborate with product, design, and analytics stakeholders, resolve complex technical and business issues, mentor engineers, and promote engineering standards. The role requires expertise in React or Vue, JavaScript or TypeScript, large codebases, scalable architecture, and effective communication.

Design, develop, launch, and maintain scalable backend systems and APIs used by partners and merchants. Collaborate with engineering teams and stakeholders, balance delivery speed with system quality and reliability, navigate large codebases, debug software, conduct code reviews, and write clear, tested, extensible code using distributed-systems technologies.

Lead design and delivery of cost-visibility and optimization tooling across cloud and AI infrastructure. Set technical strategy, build automation and monitoring, collaborate cross-functionally, ensure operational readiness, and mentor engineers to scale FinOps capabilities and self-service cost systems.