Top Engineering Manager Jobs in Calgary

Provide technical leadership and quality oversight on EPCM energy projects. Manage DBM and design deliverables, mentor multidisciplinary teams, review and approve technical documents, support FEED/model reviews, HAZOPs/PHAs, ensure QA/QC and regulatory compliance, and coordinate engineering, design, and project management to achieve technical completion.

Lead and develop a Canada-based Solutions Engineering team to enable mid-market, enterprise, and strategic sales through demos, trial workflows, technical guidance, RFP responses, cross-functional partnership, and value-based selling to drive revenue.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Lead and grow a platform engineering team focused on Infrastructure, SRE, and DevOps. Set technical direction, deliver platform roadmaps, oversee cloud infrastructure and deployment pipelines, build AI-powered internal tools, improve developer experience, own incident management and on-call sustainability, and collaborate with product, security, and compliance to ensure secure, scalable, observable systems.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

Lead and grow a Detection engineering team building tools, applications, and infrastructure for fraud and abuse detection. Collaborate with engineers, scientists, and stakeholders to design, implement, and review scalable systems and features, mentor engineers, and contribute to code and architecture to improve detection capabilities.

Lead and grow a services engineering team owning backend systems, APIs, integrations, and operational reliability. Partner with product and operations to define customer-focused outcomes, drive technical direction across Python/Go/Ruby services, improve execution standards, remove blockers, and develop engineers. Measure success by customer value, system health, and team performance.

Lead and grow two Merchants engineering teams (Core and Growth). Own technical direction, architecture (billing, checkout, delivery promise), hiring, roadmap, sprint health, and cross-functional partnerships to deliver reliable merchant-facing product features.

Lead the Technical Coolant Systems engineering team to deliver end-to-end mechanical design for data center liquid-cooling infrastructure. Oversee design maturity, documentation release, stress and thermal analysis, BIM coordination, external partners, process improvements, team development, budgets, and cross-functional integration for installation-ready packages.

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.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

The Front End Engineering Manager will lead a distributed team, driving improvements to the Firefox Desktop experience, managing multiple projects, and ensuring quality software delivery while fostering an inclusive team environment.

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.

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 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.

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

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 a hands-on engineering team to improve kernel-centric reliability of large AI compute clusters. Own technical vision, build diagnostic and debug tooling, collaborate with SW and HW teams to reduce downtime, speed failure analysis, and mentor engineers to deliver scalable, reliable production systems.