Top Engineering Manager Jobs in Calgary

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

Lead the Reporting team at Vanta, focusing on AI-powered reporting and compliance. Drive execution across initiatives and shape technical strategies in collaboration with cross-functional teams.

Leads a team of 5–8 engineers, balancing people management with technical leadership. Responsibilities include career development, roadmap delivery, architectural guidance, code reviews, hiring, incident response, team culture, and delivery management. Partners with Product Management and Design to build scalable, reliable, user-focused SaaS products while contributing hands-on technically and supporting remote, asynchronous collaboration.

Leads a sizable software engineering organization building and modernizing scalable customer runtime infrastructure for Drupal, WordPress, and Next.js sites. Responsibilities include people leadership, architecture guidance, project delivery, technical strategy, cross-functional collaboration, performance management, and cloud infrastructure modernization. The role requires deep expertise in distributed systems, cloud platforms, Kubernetes, Linux fleets, Infrastructure-as-Code, databases, caching, and modern programming languages.

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.

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 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 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 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 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.

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

Lead a 8–15 engineer product squad as a servant leader: hire and grow engineers, own team budget and headcount, drive predictable high-quality delivery, embed AI practices, shape processes and outcomes, ensure engineering excellence (testing, validation, developer experience), and partner across Product and Delivery. Act as a peer in the engineering-management leadership team.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

Build and lead a QA automation function: define strategy, select tooling, integrate tests into CI/CD, write automated tests and framework components, hire and coach automation engineers, drive risk-based testing and quality gates, and evaluate/adopt AI-assisted testing while maintaining human review and trusted quality metrics.