FR
1 435 postes de
Engineer à Canada
Senior Back-end Engineer Scalable Data Systems
ALLTECH CONSULTING SVC INC
Quebec
Sur place
CAD 90 000 - 120 000
Il y a 30+ jours
Je veux recevoir les dernières offres d’emploi de Engineer
Infrastructure Developer
ALLTECH CONSULTING SVC INC
Quebec
Sur place
CAD 60 000 - 80 000
Il y a 30+ jours
Engineer/Scientist Electrical Design - OPG Site Services Job Details | Kinectrics
Kinectrics AES, Inc.
Pickering
Sur place
CAD 80 000 - 110 000
Il y a 30+ jours
Software Development Engineer, Amazon Stores
Amazon
Vancouver
Hybride
USD 114 000 - 192 000
Il y a 30+ jours
Découvrez plus d’offres que n’importe où ailleurs. Trouvez plus de postes maintenantHuman Factors Engineer Job Details | Kinectrics
Kinectrics AES, Inc.
Toronto
Sur place
CAD 80 000 - 120 000
Il y a 30+ jours
Senior Quality Assurance Automation Engineer
BCAA
Eastern Ontario
Hybride
CAD 94 000 - 118 000
Il y a 30+ jours
Entrez en contact avec des chasseurs de têtes pour postuler à des offres similairesMechatronics Technologist
Syntron Material Handling Group
Surrey
Sur place
CAD 70 000 - 95 000
Il y a 30+ jours
OPEN: Senior Data Engineer
Cpus Engineering Staffing Solutions Inc.
Pickering
Hybride
CAD 90 000 - 120 000
Il y a 30+ jours
Ingénieur (-eure) FPGA | FPGA Engineer
Grass Valley Canada
Montréal
Sur place
CAD 85 000 - 115 000
Il y a 30+ jours
Tooling Engineer or Designer
PHM Search Group Inc.
Brantford
Sur place
CAD 75 000 - 95 000
Il y a 30+ jours
Senior Civil Engineer, Infrastructure | Engineering Firm | Vancouver | Outpost Recruitment
Moving2Canada.com
Vancouver
Hybride
CAD 125 000 - 160 000
Il y a 30+ jours
Land Development Engineer/Designer
PHM Search Group Inc.
Toronto
Sur place
CAD 70 000 - 90 000
Il y a 30+ jours
Senior Back-end Engineer Scalable Data Systems
ALLTECH CONSULTING SVC INC
Quebec
Sur place
CAD 90 000 - 120 000
Plein temps
Il y a 30+ jours
Résumé du poste
A leading technology services firm in Quebec is seeking a Senior Back-end Engineer to lead the design and development of high-throughput data systems. The ideal candidate has over 5 years of experience, strong expertise in Python, and a passion for building scalable applications that handle billions of events. Join us to shape the future of our vulnerability management platform in a fast-paced environment.
Qualifications
- 5+ years of experience building high-throughput, data-intensive applications.
- Proven expertise in Python and relational databases.
- Strong understanding of distributed systems, caching strategies, and microservices architecture.
- Experience designing systems that handle billions of events and support hundreds of thousands of users.
- Deep knowledge of data modeling, schema design, and query optimization.
Responsabilités
- Lead the design and development of high-throughput, data-intensive services.
- Architect and implement high-throughput ETL pipelines.
- Design and build scalable RESTful APIs using FastAPI, SQLModel, and Redis.
- Optimize API performance to meet strict SLAs.
- Collaborate with DevOps to deploy and scale services.
Connaissances
Python
Distributed systems
Microservices architecture
ETL pipelines
Data modeling
Caching strategies
Outils
Docker
Kubernetes
OpenShift
Description du poste
Join our Vulnerability Management Platform team as a Senior Back-end Engineer Scalable Data Systems, where you’ll :
– lead the design and development of high-throughput, data-intensive services that power critical security insights.
-You’ll own greenfield features from architecture to deployment, mentor teammates, and help shape the future of our platform.
– lead the design and development of high-throughput, data-intensive services that power critical security insights.
-You’ll own greenfield features from architecture to deployment, mentor teammates, and help shape the future of our platform.
We’re looking for a proactive engineer who thrives in fast-paced environments, takes full ownership of their work, and is passionate about building scalable systems that process billions of events daily.
What You’ll Do:
– Architect and implement high-throughput ETL pipelines to onboard new datasets and enrich vulnerability context.
– Design and build scalable, maintainable RESTful APIs using FastAPI, SQLModel, and Redis to expose new data points to the UI.
– Optimize API performance to meet strict SLAs (e.g., sub-second response times).
– Automate repetitive tasks to reduce engineering toil and improve operational efficiency.
– Architect and implement high-throughput ETL pipelines to onboard new datasets and enrich vulnerability context.
– Design and build scalable, maintainable RESTful APIs using FastAPI, SQLModel, and Redis to expose new data points to the UI.
– Optimize API performance to meet strict SLAs (e.g., sub-second response times).
– Automate repetitive tasks to reduce engineering toil and improve operational efficiency.
– Collaborate with DevOps to deploy and scale services in OpenShift/Kubernetes environments.
– Monitor and analyze API usage, latency, and error rates to ensure reliability and performance.
– Define integration patterns and data flows between system components.
– Monitor and analyze API usage, latency, and error rates to ensure reliability and performance.
– Define integration patterns and data flows between system components.
– Conduct design and code reviews, and mentor junior developers on best practices for data pipeline and API development.
– Establish and uphold technical standards and architectural guidelines.
– Establish and uphold technical standards and architectural guidelines.
What We’re Looking For:
– 5+ years of experience building high-throughput, data-intensive applications.
– Proven expertise in Python and relational databases.
– Strong understanding of distributed systems, caching strategies, and microservices architecture.
– Experience designing systems that handle billions of events and support hundreds of thousands of users.
– Deep knowledge of data modeling, schema design, and query optimization.
– Familiarity with containerized environments (Docker, Kubernetes/OpenShift).
– Strong analytical and problem-solving skills.
– Excellent communication and documentation abilities.
– A proactive, independent mindset with a strong sense of ownership and reliability.
– 5+ years of experience building high-throughput, data-intensive applications.
– Proven expertise in Python and relational databases.
– Strong understanding of distributed systems, caching strategies, and microservices architecture.
– Experience designing systems that handle billions of events and support hundreds of thousands of users.
– Deep knowledge of data modeling, schema design, and query optimization.
– Familiarity with containerized environments (Docker, Kubernetes/OpenShift).
– Strong analytical and problem-solving skills.
– Excellent communication and documentation abilities.
– A proactive, independent mindset with a strong sense of ownership and reliability.
Bonus Points:
– Experience in vulnerability management or cybersecurity domains.
– Prior success mentoring engineers and leading architectural decisions.
– Experience in vulnerability management or cybersecurity domains.
– Prior success mentoring engineers and leading architectural decisions.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.