Top Engineering Jobs in Calgary

Work as a full‑stack engineering intern writing production code across backend services, databases, and front‑end interfaces. Use MySQL, JSON, and third‑party APIs, debug existing systems, collaborate with senior engineers, and experiment with modern tooling (including AI-assisted development). Remote role (US/Canada) for 3–12 months.

Lead and develop a platform engineering team building real-time financial infrastructure. Set goals, improve velocity, close skill gaps (AI tooling, version control), define CI/CD and development standards, collaborate with product and stakeholders, and mentor engineers to take end-to-end ownership.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.

Lead a small scrum team as hands-on technical authority, writing and reviewing full-stack C#/.NET, Angular, and Oracle code; run sprint ceremonies; drive AI-first tooling adoption; manage and develop 4–5 engineers; coordinate cross-functional delivery and client engagement.

Lead a small scrum team as the daily technical authority: write and review full-stack C#/.NET and Angular code, run scrum ceremonies, set priorities, unblock engineers, enforce quality standards, drive AI-first tooling adoption, manage 4–5 engineers, engage client stakeholders, and coordinate cross-team delivery and release readiness.

Technical lead for a scrum team building reporting/BI capabilities for the CEM platform. Hands-on work in SQL/Oracle and BI tooling, sprint leadership, query performance tuning, AI-first tooling adoption, people management for 4–5 engineers, client-facing requirements gathering, and cross-team collaboration to ensure high-quality, performant reporting solutions.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead live sessions, office hours, and project reviews for senior engineers transitioning into system architecture. Provide detailed architecture critiques, mentor students one-on-one, run architecture review boards, record instructional videos, conduct mock interviews, and coordinate supporting instructors to ensure high technical standards and student readiness for architecture roles.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check AI-assisted lessons, design hands-on projects, write rubrics and reviewer guides, and iterate with an LX designer. Part-time (15-20 hrs/week) for ~4-6 months.

Lead and mentor an engineering team to deliver high-quality web and mobile products. Own performance management, strategic planning, backlog prioritization, cross-functional collaboration with Product and Design, technical excellence, and conflict resolution. Drive continuous improvement in architecture, code quality, and team processes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

The Support Engineering Manager oversees a support team providing technical solutions for Ubuntu products, ensuring customer satisfaction and team development.

Lead and scale Boulevard's data platform engineering organization to build reliable, secure, and performant data pipelines, governance, ML/AI infrastructure, and customer-facing data products. Partner with Product and Insights to deliver reporting and analytics, enforce data quality and HIPAA-compliant security standards, and drive strategic roadmap and operational excellence.