Top Tech Jobs & Startup Jobs in Ottawa

Develop trading strategies within the cryptocurrency markets, work with traders to improve and invent trading strategies, develop C++ and Python applications, collaborate with teams, monitor trading systems, identify opportunities for improvement, engage in system design discussions.

Develop and implement marketing strategies, create compelling content, manage social media presence, analyze industry trends, and provide guidance on marketing strategy and content creation.

Lead the development and architecture of backend systems for Corelight's Open NDR SaaS Platform. Collaborate with cross-functional teams to deliver scalable software solutions. Design and operate microservices using AWS technologies. Drive adoption of best software development practices and work in Agile environment.

Seeking an experienced Operations Manager to support Digital Forensics and Incident Response teams, manage cybersecurity projects, and oversee operational activities. Responsibilities include operational oversight, cybersecurity project management, cyber relationship management, performance monitoring, and fostering a collaborative work environment.

The Technical Sales Specialist at CAE is responsible for analyzing the Canadian Defence & Security sales landscape, leading and closing sales opportunities, developing statements of work, fostering key colleague networks, meeting clients, implementing sales strategies, and supporting sales campaigns with technical knowledge. The role involves interacting with multidisciplinary teams and reporting to senior management.

Lead the development of feature evolution for core technology capabilities, work with stakeholders to gather requirements, define product features, and prioritize development activities. Collaborate with product managers to manage technology product roadmaps and backlog.

Looking for an AI Solution Architect to work on customer projects and deploy LLM across industries. Responsibilities include providing technical guidance, collaborating with teams, and advancing the sales pipeline. Ideal profile includes a degree in computer science or data science, 3+ years of experience in machine learning or deep learning, strong skills in Python and software engineering, and experience in deploying ML use cases at scale.