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Top Python Jobs in Toronto
The Senior Developer, Vulnerability Scanner will be responsible for managing and optimizing the lifecycle of vulnerability scanners at Arctic Wolf. Duties include writing performant code, improving test infrastructure, implementing optimizations, mentoring new developers, and supporting customers with technical issues.
As a Senior System Administrator / Site Reliability Engineer, you will manage the operation of a high-end GPU datacenter, including deploying and maintaining hardware systems, configuring network tools, and automating Linux systems using infrastructure-as-code practices. You will also be responsible for learning new tools and optimizing environments for machine learning workloads.
As a Systems Design Engineer, you will create and implement technical solutions across the spacecraft platform, leading engineering trades and collaborating with cross-functional teams to develop innovative space products. Responsibilities include conducting analysis, developing program documentation, and troubleshooting system anomalies.
As a Weekend Site Reliability Engineer, you will enhance site reliability and security by improving current infrastructure, managing cloud operations, and mentoring junior team members. Key responsibilities include monitoring cloud infrastructure, leading project planning and deployments, and liaising with external security agencies.
As a QA Automation Engineer, you will ensure quality across different platforms, develop automated tests and frameworks, track product issues, and mentor junior team members while participating in the complete development lifecycle.
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
The Site Reliability Engineer will enhance and monitor cloud infrastructure, improve processes for deployment in various countries, and ensure system security. Responsibilities include project planning, managing Kubernetes clusters, mentoring team members, and using tools for troubleshooting and performance improvements.
As a Senior Data Engineer, you will design, implement, and maintain data pipelines for the Index advertising exchange. You will lead projects, mentor junior developers, and work on performance improvements, automation of processes, and innovative data solutions utilizing various big data technologies.
As a Data Engineer at BuildOps, you will design, construct, and maintain robust data pipelines and infrastructure. Your role includes developing data pipelines, optimizing ETL processes, implementing machine learning algorithms, and collaborating with various teams to address data needs.
As a Senior Software Developer for the Storage Team, you will design and implement scalable storage systems, lead projects, and mentor junior engineers. You'll work with various database technologies and enhance the storage infrastructure to support a growing user base.
The Senior Data Analytics Engineer will build the data platform that supports decision-making and provides insights through analytics and metrics. Responsibilities include developing an Enterprise Data Warehouse, writing ELT data transformation code, mentoring junior team members, and maintaining data quality and documentation.
As a Software Engineer at Red Hat, you will design, develop, and maintain test environments, automate test suites, and create innovative solutions to improve testing processes. You will work closely with teams to assess quality in features, identify bugs, and contribute to the automation framework in a fast-paced agile environment.
As a Sr. AI Scientist, you will apply AI and ML techniques to solve complex business problems, communicate effectively with business partners, and mentor junior team members. You'll leverage your expertise in data science, machine learning, and advanced analytics to deliver impactful AI solutions while continuously improving techniques and approaches in collaboration with data experts.
As a Digital Transformation Lead Engineer at CIBC, you will provide technical recommendations and leadership in the design and implementation of Cloud technologies. Your role will involve collaborating with senior management, ensuring production environment stability, and managing vendor and client relationships. You will also contribute to governance initiatives and support both production and non-production environments with emerging solutions.
As an AI Solutions Principal Engineer, you will design and implement complex software systems, lead cross-functional teams, and develop AI-driven solutions using Python and cloud platforms like AWS and Azure. You'll ensure scalable architectures and manage DevOps processes and machine learning pipelines.
As a Platform Data Engineer, you will design and maintain robust data pipelines utilizing AWS technologies, transform data for analysis, ensure data quality, and collaborate with various teams to deliver data-driven solutions for Halo Connect. You will also stay updated with the latest trends to enhance efficiency and innovation.
The Senior DevOps Engineer will lead the development and implementation of automated CI/CD pipelines, collaborate with teams to improve software quality, ensure security standards, and troubleshoot operational issues. This role focuses on enhancing the global contact centre technology with cloud capabilities and GenAI solutions.
The Lead Data Engineer role involves designing, building, deploying, and supporting data integration for BI reporting and analytics using Python and AWS Glue. Responsibilities include leading coding efforts, developing data pipelines, and mentoring other developers while ensuring optimal performance and maintainability of data applications.
As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.
As a Staff Software Engineer in the GTM Data Mart Team, you will design and develop robust data systems to support Stripe’s Sales and Marketing functions, collaborating with cross-functional teams to ensure high data quality and efficiency. You will also mentor others and contribute to engineering advancements in line with Stripe’s mission.
The Senior Cloud Platform Developer will design, implement, and manage the cloud-based data infrastructure and deployment pipelines, focusing on data engineering and machine learning solutions. Responsibilities include building scalable data and ML pipelines using AWS services and Jenkins, collaborating with domain teams to ensure reliability and reusability of data products, and mentoring junior staff.
As a Lead Software Engineer - Data, you'll enhance data models in various datastores, improve internal tooling for data access, operationalize data pipelines, and create strong abstractions for web services while collaborating with a technical team and ensuring quality standards.
The Software Engineer will develop and operate large-scale distributed systems and storage solutions for Grafana's k6 cloud product, focusing on performance testing. Responsibilities include collaborating with teams, participating in design reviews, reviewing code, and improving system reliability and observability.
As a BI Developer at ecobee, you'll design and deliver analytical reports and dashboards, develop effective BI solutions, and collaborate with data engineers and business stakeholders to optimize data access and usability, thus driving strategic decision-making across the company.
As a Principal Backend Developer, you will build high-performance architectures and services in AWS, ensuring robust, scalable, and maintainable systems. Your responsibilities include developing APIs, maintaining security compliance, improving cloud infrastructure, and collaborating with teams on enhancing performance and operations while leading incident responses and post-mortems.
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