• Collaborate with Territory Manager, channel partners, and end users to design Audio, Video, and Control solutions • Lead field training initiatives, develop and teach advanced training curriculum, and provide advanced-level seminars • Perform onsite programming, commissioning, and troubleshooting for Q-SYS professional services • Represent Q-SYS at trade shows and present technical topics • Influence product development by reporting use cases and customer requirements • Communicate product issues and customer needs to various internal divisions • Mentor other Systems Application Engineers and participate as a subject matter expert • Assist in building and programming technology demonstrations for trade shows

• Own the integration, configuration, and output quality of security tooling that powers our platform • Tune outputs to maximize signal and minimize noise — decide what to surface, what to suppress, and what to enrich • Design rules, severity scoring, and triage flows that make findings actionable rather than overwhelming • Build the security judgment layer on top of underlying tooling — context-aware prioritization and exploitability reasoning • Partner with engineers on how findings are presented in the UI and how remediation flows work • Work with PM and design on roadmap priorities, providing the security expertise that drives what to build next • Review and shape architectural choices that affect security outcomes • Engage with customers directly to understand how they use the platform and what's blocking adoption • Benchmark our output quality against competitors and close gaps where they exist • Contribute back to the open source security tooling we depend on where it makes sense

Role Description The Support Field Services team is looking for a dynamic candidate to provide analytical support to Bell's Field Operations teams. This opening is an excellent opportunity for anyone interested in working in a challenging and high-profile environment. The job requires an individual who is open to change, has strong business acumen, and is results-oriented. The selected candidate will be responsible for designing, developing, and testing internal web applications, and supporting information system operations for our community of users. - Offer support to existing web application & tool users by diagnosing, isolating, and de-bugging problems with existing applications and reporting. - Build, design, develop and support new web applications and reports in an effort to make Field Services more efficient and productive. - Perform unit testing as required. - Analyze and evaluate the requirements for change requests or new applications. - With minimal guidance, gather and analyze information from various sources to ensure its integrity, and resolve any anomalies. - Locate and define new process improvement opportunities in existing applications in order to achieve optimal results while ensuring accuracy and adhering to tight deadlines. - Develop and maintain reference documents for internal customers. - Work closely with the manager in charge of the team, and with all managers within our organization and Field Services. Qualifications - University or College degree in computer sciences or relevant experience in equivalent domain. - Strong communications and documentation skills. - Ability to effectively communicate with internal and external stakeholders. - Familiar with Agile project management methods (Kanban, Scrum). - Advanced experience with GIT, Jira, Confluence, Visual Studio/Visual Studio Code. - Knowledge of Object Oriented Programming using C#, Typescript/Javascript. - Knowledge of web application development using C#, .net core 6 Framework. - Knowledge of HTML, JSON, CSS and Angular 13/14, Python. - Knowledge of SQL server relational database, ADO.Net and Entity framework. - Knowledge of REST and WEB API. Experience in Developing, testing and consuming web services. - Ability and desire to learn new technologies. - Ability to work autonomously and as part of a team. - Flexibility with regard to performing out-of-mandate tasks, as required. Requirements - Hands-on software development lifecycle (SDLC). - Hands-on Cloud PaaS/IAAS environment. - Manage deadlines and ensure effective project follow-up. - Strong communication skills (spoken and written) conducive to addressing an audience of managers. - Bilingualism (English and French). Benefits - Comprehensive compensation package including a competitive salary. - Medical, dental, vision, and mental health benefits tailored to your specific needs. - 35% discount on services and access to exclusive offers from partners. Working Conditions - Work schedule: Hours are scheduled between Monday and Friday, 8:00 a.m. to 5:00 p.m. Weekly hours will vary based on operational needs and may be up to a maximum of 37.5 hours. - Adequate knowledge of French is required for positions in Quebec.

Role Description As an AI Applications Engineer - AI Integration, you will build the next generation of AI-powered applications for cybersecurity and compliance intelligence. This will include designing and developing backend services that aggregate data across multiple systems, integrate AI capabilities, and deliver predictive insights to enterprise customers. You will work on a multi-tenant SaaS platform that supports organizations with complex hierarchies and high data demands. Your role will include designing APIs, building AI-powered data processing pipelines, and optimizing large-scale database operations to enable real-time business intelligence. Duties and Responsibilities - Design and build REST APIs in Node.js and PHP to deliver dashboard data and AI-driven insights. - Integrate LLM APIs (e.g., OpenAI, Anthropic, Cohere, Google Gemini, Azure OpenAI) for natural language recommendations, reporting, and risk analysis. - Ability to quickly create Proof-of-Concept code and engage with multiple stakeholders to drive PoC productization. - Develop Python microservices with pandas, numpy for preprocessing, analytics, and statistical modeling. - Implement real-time data aggregation pipelines from existing SQL databases. - Design and optimize database schemas for multi-tenant SaaS and time-series data storage. - Build serverless functions (AWS Lambda) for asynchronous AI processing and pipeline orchestration. - Implement event-driven workflows using SQS, EventBridge, or equivalent messaging systems. - Develop algorithms for pattern recognition, anomaly detection, and trend analysis. - Create predictive models for forecasting and risk scoring. - Implement caching strategies (e.g., Redis) for dashboard performance optimization. - Build automated report generation with PDF export and scheduled delivery. - Optimize SQL queries for high-volume data aggregation across multiple organizations. Qualifications - 5+ years backend development experience with production systems at scale. - Hands-on experience with LLM API integrations (OpenAI, Anthropic, Cohere, Google Gemini, or similar). - Strong PHP skills (including legacy system integration) and Node.js for API/microservice development. - Strong Python skills with PyTorch, TensorFlow, pandas, numpy, and data manipulation expertise. - Experience with AWS services (Lambda, ECS, RDS, SQS, EventBridge, S3). - Advanced SQL skills including query optimization, indexing, and schema design. - Experience in REST API design and third-party integrations. - Knowledge of multi-tenant architectures and data isolation strategies. - Experience with real-time systems (WebSockets, message queues, or event streaming). - Proficiency with Git, Docker, and CI/CD pipelines. - Experience with database migration and data synchronization. - Strong understanding of caching strategies and performance optimization. Preferred Qualifications - Familiarity with prompt engineering and AI optimization techniques. - Experience with AWS AI Infrastructure including Bedrock, SageMaker. - Experience with time series analysis and statistical modeling. - Background in cybersecurity, compliance, or risk management software. - Strong understanding of serverless and event-driven architecture. - Experience with ETL pipelines and orchestration frameworks. - Experience modernizing and refactoring legacy PHP applications. - Experience with business intelligence systems and executive reporting. - Familiarity with anomaly detection algorithms and predictive analytics. - Experience with scaling strategies for SaaS platforms (horizontal scaling, sharding, etc.). - Knowledge of monitoring and observability tools (CloudWatch, logging frameworks). Compensation The salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications, and other factors. We provide significant career growth, competitive compensation, and a benefits package including generous personal time off, holiday pay, health insurance, and pension.