Top Tech Jobs & Startup Jobs in Calgary

Design, build, and operate resilient Java and Spring Boot backend services for inventory availability, order promising, and fulfillment. Develop event-driven Kafka integrations, concurrency and consistency controls, caching strategies, observability, and graceful degradation mechanisms. Own services from design through production, optimize performance and reliability, integrate with commerce and enterprise platforms, conduct code reviews, document architecture decisions, and mentor junior engineers.

Leads the DTC Platform Engineering organization, overseeing cloud foundations, DevOps, CI/CD, Kubernetes, integrations, quality engineering, performance, security, developer tooling, and AI-enabled engineering platforms. Defines multi-year platform strategy, infrastructure and security standards, self-service capabilities, and delivery governance. Partners with product engineering, security, finance, and infrastructure teams while building and mentoring multidisciplinary engineering teams focused on scalable, secure, reliable, and cost-efficient software delivery.

Own quality strategy, automated testing, and test execution for omnichannel commerce capabilities. Build scalable API, integration, contract, event-driven, and end-to-end test frameworks; manage complex test data; integrate quality gates and regression testing into CI/CD pipelines; define quality metrics; validate order, inventory, fulfillment, returns, and post-purchase workflows; and mentor engineers on quality practices and automation.

Lead quality engineering strategy for web and mobile consumer experiences. Design scalable automation frameworks, establish risk-based testing and governance, build automated web, mobile, API, integration, and end-to-end suites, and embed quality across delivery teams. Drive accessibility, performance, cross-browser and cross-device validation, release readiness, quality metrics, experimentation testing, and continuous improvement while partnering with Product, Design, Engineering, and Architecture.

Leads frontend architecture and engineering for large-scale consumer web applications. Defines standards, reusable patterns, and headless API architectures using ReactJS, TypeScript, Next.js, and GraphQL. Drives performance, Core Web Vitals, accessibility, security, experimentation, design systems, and global scalability through CDN and edge technologies. Partners cross-functionally, mentors engineers, influences architecture across teams, and guides technical decisions for reliable, accessible, high-performing digital experiences.

Leads architecture, development, and evolution of large-scale React Native applications across iOS and Android. Defines mobile engineering standards, reusable patterns, security and privacy practices, release processes, accessibility, performance optimization, API and commerce integrations, experimentation, and design systems. Provides technical direction, partners cross-functionally, makes architectural decisions, mentors engineers, and improves delivery through AI-assisted engineering tools.

Leads architecture, development, and technical strategy for omnichannel Order Management capabilities, including order orchestration, inventory, fulfillment, returns, and post-purchase experiences. Designs scalable API-first, event-driven microservices and integrates OMS with commerce, ERP, WMS, payments, logistics, and customer-service systems. Establishes engineering standards, reliability practices, testing, observability, and performance strategies while mentoring engineers and driving AI-assisted development improvements.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Develop and maintain Digital Workplace tools, working closely with teams, performing testing, debugging, and technical research. Requires web development experience and familiarity with modern software architectures.