Layer Jobs in Calgary
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Search Results - Layer Jobs in Calgary
Surerus Pipeline Inc.-Calgary
while aligning with DataCore and Azure APIs within a three-layer architecture. You will participate in replatforming Power Apps solutions to native iOS, contribute to broader platform work, and help define mobile standards.
#J-18808-Ljbffr...
appcast.io -
Sharp Brains-Calgary
of Data Center technologies:
• VPC
• VDC
• FCoE
• Virtual Switching
• Expertise in Layer 2 technologies:
• Switching
• VLANs
• Spanning Tree Protocol (STP)
• Expertise in Layer 3 routing protocols:
• BGP
• OSPF
• EIGRP
• MPLS
• Experience with Wireless Network...
Sidetrade-Calgary
of our martechstack and the strategy, architecture, and execution of the agentic layer that runs Sidetrade marketing: lead scoring, enrichment, prospection, campaign orchestration, and attribution. You will define what "production-ready" means for AI...
Kruxanalytics-Calgary
in advancing analytics capabilities for diverse clients worldwide.
Key Responsibilities:
• Architect and improve multimodal data analytics solutions
• Optimize DAX calculations and improve cloud database performance
• Provide guidance on semantic layer design...
BigGeo-Calgary
We help companies manage and access the world's spatial data.
Any size, any slice, any insight.
Delivered in seconds.
The Spatial Cloud is the infrastructure layer that makes spatial data accessible to any company, at any scale, delivered...
Socket.dev-Calgary
of our martech stack and the strategy, architecture, and execution of the agentic layer that runs Sidetrade marketing: lead scoring, enrichment, prospection, campaign orchestration, and attribution. You will define what "production-ready" means for AI...
Innvenza Solutions-Calgary
This is not a layer on top of AI tools or a workflow for power users. The goal is to build enterprise-grade products teams rely on daily, with the consistency, visibility, and control expected in production systems.
The underlying systems are complex, stateful...
appcast.io -
Ashby-Calgary
Qualifications
Comfortable tackling any layer of the stack, from frontend to backend.
Experience delivering high‑quality products under technical and product ambiguity.
Strong balance of speed and quality, with a focus on delivering value quickly.
A spirit...
Engage-Building-Products-Calgary
in place and pending. As we continue to grow, we are seeking an experienced AI & Analytics Engineer - Business Automation to join our technical and sales support team.
What you'll do
• Own the company's reporting data layer: consolidate fragmented sources...
appcast.io -
Softchoice-Calgary
improvement. You will own the KPI and SLA visibility layer for Incident Management & Request Fulfillment, drive CSI initiatives across all ITSM practices, and ensure the operating model stays disciplined and measurable as scope grows.
This is a practitioner...
Helcim-Calgary
product usage after that.
• Own the technical backbone that makes real segmentation possible: triggers, event data, entry/exit logic
• not just the campaign layer sitting on top.
This is infrastructure work, not one‐off builds
• decisions here shape how...
Sharp Brains-Calgary
software, and connectivity issues
• Draft and manage technical documentation for networks
Requirements:
• Minimum of 5 years in enterprise networking
• Proficient in F5 Load Balancers and TCP/IP
• Expertise in Layer 2/3 technologies and Data Center...
Krux Analytics Inc.-Calgary
with teammates for ETL and data pipeline improvements
• Provide technical guidance on semantic layer design and analytics best practices
• Support cross functional stakeholders with scalable reporting architecture
• Assist in high-priority analytics platform...
BigGeo-Calgary
By combining Unified Data, Real‑Time Compute, and Governed Monetization, BigGeo transforms fragmented spatial datasets into a shared operational layer that powers real‑world awareness across industries, infrastructure systems, and AI platforms.
Why BigGeo...
Accenture-Calgary
production‑ready platforms. A critical dimension of this role is owning the design of a comprehensive AI context layer — drawing on enterprise knowledge bases, structured and unstructured data sources, and domain‑specific content — to ground AI systems...
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