Senior .NET Developer with a passion for building scalable, cloud-native applications and distributed systems. In this role, you'll design, develop, and maintain high-quality backend solutions using modern .NET technologies while collaborating with cross-functional teams to deliver reliable, secure, and high-performing software.
Data Scientist focused on large-scale recommendation systems and agentic AI at Glance.
Responsibilities
Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
Requirements
Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
Develop trust with assigned customers, provide the best possible experience navigating Canonical's offering, and align expectations to increase loyalty and alleviate pain points.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Onboard new customers and introduce them to products and support processes
Coordinate complex projects in interaction with developers, IT managers and decision makers
Collaborate with Sales, Field Engineering and Support in developing and delivering engagement plans
Manage a portfolio of customers in a specific geographic region and identify growth opportunities or renewal risks
Serve as a customer advocate internally and influence Canonical products roadmaps, websites, documentation, processes and people
Build a next-generation private cloud infrastructure using KVM, Ceph, and SDN technologies, focusing on low-level Go codebase between REST API and C libraries for container/VM management.
Locations (2)
Americas
EMEA
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Design, implement and document system level Go code
Model data, design database schema and implement data storage in a dqlite (SQL) database
Maintain code quality through static analysis, unit and system tests
Collaborate proactively with a distributed team
Discuss ideas and collaborate on finding good solutions
Requirements
Bachelor's or equivalent in Computer Science, STEM or similar degree
Design and build back-end services that support data-centric clinical and analytic applications leveraging cloud computing, big data, mobile, data science, data warehousing, machine learning.
Locations (4)
Rochester, Minnesota, United States
Phoenix, Arizona, United States
Scottsdale, Arizona, United States
Jacksonville, Florida, United States
Responsibilities
Design and build back-end services for data-centric clinical and analytic applications
Ensure cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale
Work closely with data engineering, platform, and solutions teams to develop applications
The Technical Services Team guides clients through the lifecycle of delivering third-party flat file integrations as part of an overall Dayforce HCM implementation, supporting a positive client go-live experience by coordinating key internal and external stakeholders to deliver business-critical data integrations.
Locations (2)
Toronto, Ontario, Canada
Minneapolis, Minnesota, United States
Responsibilities
Provide consulting services to clients
Translate client requirements into flat file requirements
Meet with offshore teams to review the mapping document for file development
Manage internal and external stakeholders to achieve export file deliverables
Identify and communicate risk
Requirements
Bachelor’s degree or equivalent experience
Nice to have: Project management exposure
Nice to have: Experience with software in a SaaS/cloud computing environment
Nice to have: Experience with HRIS systems
Nice to have: Good working knowledge of payroll contribution, benefits eligibility, and HR files
The Technical Services Team guides clients through the lifecycle of delivering third-party flat file integrations as part of an overall Dayforce HCM implementation, supporting a positive client go-live experience by coordinating key internal and external stakeholders to deliver business-critical data integrations.
Locations (2)
Toronto, Ontario, Canada
Minneapolis, Minnesota, United States
Responsibilities
Provide consulting services to clients
Translate client requirements into flat file requirements
Meet with offshore teams to review the mapping document for file development
Manage internal and external stakeholders to achieve export file deliverables
Identify and communicate risk
Requirements
Bachelor’s degree or equivalent experience
Nice to have: Project management exposure
Nice to have: Experience with software in a SaaS/cloud computing environment
Nice to have: Experience with HRIS systems
Nice to have: Good working knowledge of payroll contribution, benefits eligibility, and HR files
Lead data and analytics architecture, project and team leadership for client solutions, driving business growth and delivering innovative data solutions.
Compensation
Compensation Range: $112,100 - $225,500
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
Develop and maintain data management, governance, and security with best practices and standards.
Oversee delivery teams’ application of defined standards and best practices throughout implementation.
Supports executive leadership and Vice Presidents within the enterprise-wide analytic community, helping lead and coordinate major cross-functional analytics and governance initiatives.
The base pay rate for Full-Time employment is: $106,080.00 - $176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Responsibilities
Provides guidance across the analytic community around the development of key analytic models, dashboards, and strategic reporting
Takes a key role in developing and administering enterprise-level data governance functions
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