Top Tech Jobs & Startup Jobs in Toronto

Operate and support a global Kafka-as-a-Service platform in a DevSecOps model: provide L1/L2 production support, perform daily checks and regional handovers, manage incidents, change and release processes, run resiliency and post-release health checks, maintain documentation, liaise with platform engineering, and drive operational improvements.

Lead design and implementation of application systems using Agile and DevOps practices. Drive microservices, CI/CD, observability, and cloud/on-prem integrations. Mentor teams, build POCs, troubleshoot production issues, and ensure compliance and operational readiness while partnering with business stakeholders.

The role involves designing, developing, and implementing complex applications systems, leading technical projects, and mentoring team members while ensuring best practices in coding and problem-solving.

The role involves enhancing the stability and performance of AI and DevOps platforms, leading design and implementation of infrastructure, managing databases and messaging systems, and driving DevOps practices within the team.

Develop and maintain full-stack applications for Fixed Income trading and risk management, collaborating with traders and analysts for innovative solutions.

Lead end-to-end development and deployment of AI/ML (including Agentic and LLM) solutions for enterprise-scale data reconciliation. Design models, manage pipelines and MLOps, analyze large structured/unstructured financial datasets, collaborate with engineering and business teams, maintain documentation, and deliver measurable impact across operations, risk, and finance.

Lead enterprise data quality strategy by designing frameworks, controls, and scorecards; integrate controls into data pipelines; use AI/ML and Generative AI for anomaly detection and automation; manage end-to-end data issue lifecycle, perform root-cause remediation, assess control effectiveness, support audits/regulatory reviews, and partner with business, technology, risk, and data teams to improve upstream data quality and governance.

Lead design and delivery of microservices-based applications using Agile and DevOps. Build CI/CD pipelines, observability, and security practices; mentor DevOps teams; troubleshoot production issues and deliver enterprise solutions.

Lead product and application development, design scalable microservices-based architectures, integrate AI-powered developer tools, collaborate with product and design, champion agile practices, and drive technical innovation across full-stack teams to deliver high-quality software.

The role involves leading frontend UI development, integrating functions, managing high-impact problems, and providing expertise in application programming.