Senior Engineering Jobs in Canada
Drax
Valemount, BC
Day-to-day operational management & support of the Drax Global SASE / SDWAN network (Velocloud / Zscaler) as well as operation and support of virtual networking elements within Public Cloud (AWS & Azure), including routing, Firewalls and WAF. Responsible for day-to-day operation and support of the Network infrastructure, including Cisco (Switches, Routers), Palo Alto (Firewalls, Panorama & Prisma Access) and Meraki wireless systems.
Drax
Quesnel, BC
Day-to-day operational management & support of the Drax Global SASE / SDWAN network (Velocloud / Zscaler) as well as operation and support of virtual networking elements within Public Cloud (AWS & Azure), including routing, Firewalls and WAF. Responsible for day-to-day operation and support of the Network infrastructure, including Cisco (Switches, Routers), Palo Alto (Firewalls, Panorama & Prisma Access) and Meraki wireless systems.
Drax
Hixon, BC
Day-to-day operational management & support of the Drax Global SASE / SDWAN network (Velocloud / Zscaler) as well as operation and support of virtual networking elements within Public Cloud (AWS & Azure), including routing, Firewalls and WAF. Responsible for day-to-day operation and support of the Network infrastructure, including Cisco (Switches, Routers), Palo Alto (Firewalls, Panorama & Prisma Access) and Meraki wireless systems.
Drax
Prince George, BC
Day-to-day operational management & support of the Drax Global SASE / SDWAN network (Velocloud / Zscaler) as well as operation and support of virtual networking elements within Public Cloud (AWS & Azure), including routing, Firewalls and WAF. Responsible for day-to-day operation and support of the Network infrastructure, including Cisco (Switches, Routers), Palo Alto (Firewalls, Panorama & Prisma Access) and Meraki wireless systems.
Drax
Mackenzie, BC
Day-to-day operational management & support of the Drax Global SASE / SDWAN network (Velocloud / Zscaler) as well as operation and support of virtual networking elements within Public Cloud (AWS & Azure), including routing, Firewalls and WAF. Responsible for day-to-day operation and support of the Network infrastructure, including Cisco (Switches, Routers), Palo Alto (Firewalls, Panorama & Prisma Access) and Meraki wireless systems.
Sanofi
Toronto, ON
The Manufacturing Execution System (MES) Senior Full stack engineer drives the design, build and lifecycle of global end to end MES solutions (addition of interactive various components working together) as well as operational excellence to meet business needs in an operational and financially efficient manner. Over the last 3 years, Sanofi has deployed 30 Production sites across 4 GBUs (multiple and different pharmaceutical processes, 18 Weighing & Dispensing & 12 full MES), and a second wave, should start in the coming years (> 50 production sites, pending business case confirmation).
Sanofi
Toronto, ON
A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
Sanofi
Toronto, ON
Working knowledge of unit operations typically used in biotech and vaccine manufacturing such as Upstream, Downstream, Adsorption , MBWS, Formulation, sterilization in place (SIP) and cleaning in place (CIP). In collaboration with platform management and other stakeholders, participate in developing appropriate technical CAPAs with a clearly defined scope to address the root cause of deviations.
Sanofi
Toronto, ON
Working knowledge of unit operations typically used in biotech and vaccine manufacturing such as Upstream, Downstream, Adsorption , MBWS, Formulation, sterilization in place (SIP) and cleaning in place (CIP). In collaboration with platform management and other stakeholders, participate in developing appropriate technical CAPAs with a clearly defined scope to address the root cause of deviations.
Sanofi
Toronto, ON
A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
Sanofi
Toronto, ON
A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
Sanofi
Toronto, ON
Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. Provide ongoing support and troubleshooting for computational workflows used by research teams, optimizing resource usage and performance.
Sanofi
Toronto, ON
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. You will work with data architects and engineers within an agile environment to drive and oversee the design, development, deployment and maintenance of scalable, efficient, and innovative platforms that enable teams to drive solutions and accelerate Data/AI Product development.
Sanofi
Toronto, ON
Guided by our core values - Aim Higher, Act for Patients, Be Bold, and Lead Together - we provide life-changing treatment options and life-saving vaccine protection to millions globally while putting sustainability and social responsibility at the center of our ambitions. You excel in deploying data and cloud platforms with robust lifecycle management and have a passion for ownership and end-to-end delivery of scalable, secure, multi-tenant data platforms.
CA-Procom
Lloydminster, SK
The focus is on resolving safety, environmental, and integrity concerns, optimizing facility performance, and identifying opportunities to reduce operational expenses or add business value. This role involves providing field-level process engineering support within Thermal and Conventional Heavy Oil.
CA-Procom
Montréal, QC
Ingénieur Fiabilité – Gestion des Identités et des Accès
Dans le cadre de ses ententes avec ses différents clients, Procom est actuellement à la recherche d’un ingénieur fiabilité – gestion des identités et des accès pour une entreprise dans le domaine des finances. Notre client est situé à Montréal.
Description des tâches et r...
CA-Procom
Calgary, AB
Excellent problem-solving and interpersonal skills, capable of collaborating effectively across engineering, data science, and business teams. Strong background in data storage and processing technologies, including PostgreSQL, Apache Iceberg, Delta Lake, and Azure Data Lake.
CA-Procom
Montréal, QC
As a Senior Cloud Data Warehouse Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. The Controls Engineering, Measurement and Analytics (CEMA) department is responsible for Cyber Risk and Control assessment, management, monitoring, and reporting capabilities across Technology, resulting in risk reduction and better oversight of the technology risk landscape of the firm.