Top Python Jobs in Toronto

The Senior Software Developer, Reliability will play a crucial role in engineering reliable, scalable, and fault-tolerant distributed systems. Responsibilities include designing and implementing high availability features, optimizing workflows, enhancing project infrastructures, and providing mentorship to other developers.

Develop and maintain software solutions and integrations for VoIP devices, troubleshoot production/customer issues, collaborate with cross-functional teams, and stay up-to-date with the latest technologies in the field.

The Staff Lifecycle ATE Test Engineer focuses on optimizing test programs for high-performance mixed-signal ICs, including driving cost reductions and enhancing yield. Responsibilities include sustaining test programs, coordinating engineering activities, managing production issues, providing technical support, and integrating test instruments into programs.

As a Lead Data Engineer, you will design and develop data processing software, manage components, enforce best practices, and lead troubleshooting efforts. You will coach team members, ensure operational readiness, and communicate technical designs clearly, aiming for quality code that meets user needs.

Seeking a highly skilled Senior Staff Software Application Developer with 3-4 years of experience in AMS or analog IC design. Responsibilities include developing software design processes, collaborating with teams, utilizing scripting languages for automation, and contributing to logic design and implementation.

The Senior Growth Engineer will leverage technical expertise to drive growth by developing strategies for user acquisition, engagement, and retention. The role involves collaborating with teams, implementing data-driven solutions, and conducting A/B tests to optimize user experiences. Technical leadership and code Quality improvement are key responsibilities, as well as providing mentorship to other engineers.

As a Sr. Backend Developer, you will write clean and efficient code, design scalable features, and participate in all development lifecycle phases while maintaining best practices. You will contribute to adopting new technologies and improve personal and organizational practices.

As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.

As a Senior Backend Engineer, you will collaborate in a team to design, develop, and implement components for our AI-driven security software. You'll research new technologies, mentor junior engineers, and work with data scientists to enhance our cutting-edge solutions in cybersecurity.

The Developer Experience Engineer will build and optimize developer environments, maintain and enhance CI/CD systems, streamline workflows for rapid deployment, and support developer onboarding while resolving complex environmental issues.

The Site Reliability Engineer will design and implement highly scalable infrastructure, optimize databases, and monitor systems for reliability and performance. Responsibilities include developing monitoring tools, collaborating with engineering teams, and addressing performance issues as they arise.

The Backend Software Engineer will lead the design, implementation, and scaling of API systems at Perplexity. Responsibilities include building and maintaining APIs, managing infrastructure for API products, and ensuring a great user experience. The role also involves aligning technical decisions with strategic initiatives and advocating for new features that benefit the user base.

The AI Software Engineer will develop and integrate LLM-based features into products, improve code quality and performance, and collaborate with a multidisciplinary team to enhance user experience.

As a Senior Software Engineer for LLM inference, you will write scalable, high-quality code for backend software, perform benchmarking and profiling for GPU applications, and conduct tests on the inference pipeline while collaborating with diverse teams.

As an AI Inference Engineer, you will develop APIs for AI inference, optimize ML systems, benchmark performance, enhance system reliability, and implement optimizations for LLM inference.

Develop high-performance, power-efficient datacenter solutions for Deep Learning. Optimize GPU kernels, write tests, and benchmarks to evaluate solutions. Communicate with product teams to understand and address performance issues.

Build customer-facing applications, craft performant solutions, participate in code reviews, ensure quality and efficiency, meet customer and business needs.