Top Tech Jobs & Startup Jobs in Calgary

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Leads the deployment of AI-powered workflows across business functions, transforming manual processes into measurable, production-ready systems. Partners with department leaders and Engineering to build automation, evaluation, monitoring, governance, and shared AI infrastructure. Develops templates, playbooks, training, and enablement to increase adoption while ensuring security, privacy, compliance, and responsible data use. Requires strong hands-on AI fluency, cross-functional leadership, workflow expertise, and the ability to teach complex concepts clearly.

Executive engineering leader responsible for shaping product and technology strategy, aligning the executive team, communicating direction across a distributed organization, and leading a high-performing engineering organization through AI-driven change. The role requires technical credibility, experience managing large-scale directional shifts, distributed-team leadership, strong written and verbal communication, and the ability to operate strategically amid uncertainty.

Build and maintain production-grade AI agents that investigate, reason over, and act on high-cardinality observability data in Honeycomb Canvas. Own agent development from prototype through production, including evaluation frameworks, performance, reliability, memory, spatial awareness, and full-stack integration. Extend Canvas, the MCP server, and Canvas Skills while applying product judgment to define future agent capabilities.

Design and implement high-quality storage and query infrastructure for billions of events. Independently scope and deliver complex projects, improve performance and reliability, support production systems through on-call rotations, and reduce operational toil. Collaborate with Product Management and engineering teams, mentor peers, debug critical issues, define KPIs and SLOs, and drive foundational technical improvements across the organization.