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Top Python Jobs in Toronto
As an Escalation Engineer at MongoDB, you will resolve complex customer issues involving architecture, performance, recovery, and security. You'll utilize your deep product knowledge, coding proficiency, and systems engineering skills to mentor others and collaborate with multi-functional teams. A proactive approach to problem-solving and strong communication skills are essential to support customers effectively.
The Site Reliability Engineer at Okta will design, build, and scale the production Kubernetes platform, respond to production incidents, and improve system reliability through proactive monitoring and incident management. The role demands collaboration with engineering teams and a focus on security best practices while supporting a 24x7 environment.
As a Senior Backend Engineer, you will influence the product roadmap, deliver new features, drive projects from ideation to operations, maintain critical systems, and mentor team members while ensuring reliability and performance in a distributed system environment.
As a Senior Software Developer in Test at Jane, you'll design, develop, and execute automated test frameworks, mentor junior staff, collaborate to improve testing processes, and enhance quality metrics within a remote-first team focused on the healthcare industry.
As a Staff Software Developer in the Observability Team at Robinhood, you will design and build scalable observability platforms, drive the team's long-term vision, provide technical leadership, collaborate with cross-functional teams, mentor developers, focus on efficiency and cost management, and build partnerships with other engineering teams.
As a Full Stack Developer, you will collaborate with stakeholders to design and build scalable front-end and back-end applications, write APIs, maintain production systems, and ensure data protection standards are met.
As a Senior Backend Developer, you'll design and implement backend systems for GenAI applications, focusing on developing APIs, managing workflows, and ensuring performance optimization. You'll collaborate with ML teams, lead automated testing initiatives, and mentor junior developers, all while adhering to best security practices.
As a Senior DevOps Engineer at Tecsys, you will design CI/CD tools, develop packaging processes, maintain monitoring infrastructure, and explore new technologies. You will automate manual processes, drive collaboration among developers and QA, and continuously improve methodologies in a Scrum environment.
As a Linux Platform Integration Senior Engineer, you'll optimize Ubuntu for various hardware, collaborate with silicon partners, lead technical engagements, enhance the user experience, and work with cutting-edge operating systems and application technologies.
As a Linux Software Engineering Manager at Canonical, you will lead an engineering team to optimize the Ubuntu platform for various silicon platforms. Your role involves managing technical relationships, mentoring engineers, and collaborating with teams to ensure quality delivery of projects.
As a Senior Backend/Full Stack Engineer, you will develop microservices, user dashboards, and customer-facing experiences, focusing primarily on backend work with Python and also utilizing TypeScript, JavaScript, and AWS. You will own the technical aspects of various services within the company's application cloud, collaborating closely with product teams.
The Field Engineer will guide technical evaluations and serve as a key technical advisor during the sales process. Responsibilities include establishing architectural visions, helping clients adopt Materialize, and authoring reference architectures while engaging with the technical community through various events.
The Data Architect will design and deliver client data ingestion pipelines, collaborate with various teams, scale data pipelines, and implement best practices for secure and efficient data management. Responsibilities include anticipating client needs, improving integration solutions, and leading urgent operational issues.
As a Senior Backend/Full Stack Engineer, you will build microservices and user dashboards with a focus on backend development in Python and frontend in React. You will also be responsible for creating APIs and SDKs, working collaboratively with product teams and ensuring the quality of code throughout the software lifecycle.
As a Data Scientist at McAfee, you will analyze large datasets to profile and transform data while building customer 360° views. Your responsibilities include using SQL and Python for querying and data analysis, collaborating with stakeholders, and maintaining documentation of data processes.
The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.
The Enterprise Data Platform Engineer will manage and oversee DevOps activities on AWS and Databricks, ensuring platform reliability and uptime. Responsibilities include configuration management, data lifecycle governance, quality automation, and adherence to SDLC best practices. The role requires collaboration and thought leadership in platform tools and support for data observability and automation.
As a Senior Data Ingestion Engineer, you'll lead the ingestion team, manage ETL/ELT pipelines on the Databricks platform, optimize data pipelines, document integration flows, and ensure compliance with security guidelines. You will also work on data ingestion from various source systems while using tools like Airflow and manage metadata effectively.
As a Senior Data Architect at McAfee, you will manage the data architecture of the Databricks platform, focusing on data lakehouse design and ETL/ELT processes. You will collaborate with data teams to develop physical models and ensure compliance with security standards while overseeing data curators' work to meet architectural guidelines.
The Senior Data Integration Engineer will integrate data from various sources, manage ETL/ELT pipelines using Databricks, and ensure compliance with security guidelines. Responsibilities include designing ETL/ELT processes, scheduling jobs with Airflow, and documenting data flows. Collaboration with various departments to understand business requirements and monitoring data pipelines is also key to this role.
The Senior Manager of Technical Data Steward will lead a data stewardship team, defining requirements, managing logical data models, and ensuring data quality across the enterprise. Responsibilities include collaborating with business leaders, overseeing data cataloging and access controls, and serving as a point of escalation for data issues.
As a Technical Data Steward at McAfee, you will collaborate with business leaders while managing logical data models and metadata. You'll be responsible for defining technical requirements, overseeing data integrity, and acting as an escalation point for data quality issues, ensuring a high standard of data governance.
As a Senior Data Scientist at McAfee, you will develop and implement ML models focused on dynamic pricing and personalized recommendations to enhance customer experiences. Your responsibilities include creating algorithms to optimize consumer journeys, engineering data pipelines, and collaborating with cross-functional teams to ensure solutions align with strategic goals.
As a Senior Data Scientist, you will develop innovative ML solutions focused on pricing and recommendations. Your responsibilities include designing and implementing ML models, maintaining data infrastructure, collaborating with cross-functional teams, and conducting controlled experiments to validate solutions.
As a Technical Account Manager, you will drive customer success by guiding the adoption and implementation of the Armis platform. You will build relationships with technical users, ensuring deployments align with business use cases, and work collaboratively with engineering and sales teams to enhance customer satisfaction and deliver maximum value.
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