Senior Back-end Engineer Scalable Data Systems

Alltech Consulting Services

Montreal

Détails du poste

  • Lieu de travail : Montreal
  • Type de poste : Permanent à temps plein

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.

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.

Ce que vous ferez

  • 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.
  • 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.

Ce que nous recherchons

  • 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.

Points bonus

  • Experience in vulnerability management or cybersecurity domains.
  • Prior success mentoring engineers and leading architectural decisions.