Top Tech Jobs & Startup Jobs in Toronto

As a Lead Test Engineer, you will design test strategies, implement automation, evaluate user experience, and ensure overall feature quality while collaborating with cross-functional teams.

The Senior GRC Engineer ensures security in cloud environments, leads compliance assessments, and integrates security into engineering practices for protecting organizational data.

The Sr. DevOps Engineer will enhance internal tooling for developers, design APIs, improve service reliability, and collaborate with teams for operational improvements.

Lead the go-to-market strategy for AI-powered workforce engagement solutions, focusing on employee productivity and customer experiences. Collaborate across teams to align marketing strategies and drive enterprise adoption while optimizing performance and growth.

The Product Marketing Manager at Genesys will drive go-to-market strategy, collaborate across teams, and translate complex data into valuable propositions to enhance customer experiences.

The Software Architect will design and evolve distributed search systems, ensuring performance and reliability while influencing architecture and collaborating with cross-functional teams.

The role focuses on driving Professional Services revenue in enterprise accounts, aligning services strategies with customer business outcomes, and expanding AI-driven transformations.

The BDR is responsible for driving pipeline growth by qualifying leads, conducting outbound prospecting, managing databases, and collaborating with Account Executives while ensuring effective engagement with prospects.

The Telecom Operations Specialist manages global messaging capabilities, ensuring compliance, resolving issues, and coordinating with teams and vendors for operational excellence.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.