Software Engineer - Vancouver, British Columbia

Only for registered members Vancouver, British Columbia, Canada

12 hours ago

Default job background
$65,000 - $110,000 (CAD) per year *
* This salary range is an estimation made by beBee
Software Engineer / Canada, Remote-based / Contract Position · About Us · Join our highly skilled and cutting-edge team at emtelligent. We are at the forefront of natural language processing (NLP) and AI applications in the healthcare domain, creating state of the art language mo ...
Job description

Software Engineer / Canada, Remote-based / Contract Position

About Us

Join our highly skilled and cutting-edge team at emtelligent. We are at the forefront of natural language processing (NLP) and AI applications in the healthcare domain, creating state of the art language models and associated software for machine reading of narrative medical text. Our Medical Language Engine leverages NLP & AI to transform complex medical narratives into highly precise actionable insights.

Role & Responsibilities:

We are seeking a Software Engineer with demonstrated expertise in Python and modern backend development to develop emtelligent's core software product(s). This role will focus on improving legacy back-end infrastructure while replacing it with modern components, developing tools to support modern deployment methodologies, and improving performance and scalability of all emtelligent core services. This is a 6 month contract position which could be extended to a permanent position.

We are looking for a hands-on technical engineer who thrives in fast-paced environments, can quickly develop our product(s), and contribute to cross-team infrastructure projects. The ideal candidate has 5–10 years of professional development experience with Python architecting middleware and backend systems, with a preference for additional experience in DevOps and cloud-native deployment practices.

Core Responsibilities

  • Design and implement scalable, maintainable, and secure services and components using Python, ensuring alignment with enterprise architecture standards.
  • Evaluate and optimize existing system performance (CPU, GPU, memory, I/O, queue throughput, API latency) and implement measurable improvements.
  • Work on autoscaling and scaling to zero to improve throughput and minimize cloud services expenses.
  • Work on vllm, ollama and other open weight LLM backend server technologies including shared gateways to optimize rate limits with external closed weight LLM vendors.
  • Support and provide input on architectural standards, best practices, and design patterns across teams.
  • Improve CI/CD pipelines and deployment automation to support modern DevOps practices, including containerized and cloud-native deployments.
  • Build new and maintain and extend existing APIs and API servers.
  • Extensive knowledge of Docker and Kubernetes.
  • Architect and optimize event-driven and streaming workflows.
  • Collaborate with engineering, product, and platform teams to translate business requirements into technical solutions.
  • Refactor, modernize, and stabilize existing legacy applications while minimizing risk.
  • Identify and resolve performance, scalability, and reliability issues.
  • Drive performance, reliability, observability, and scalability improvements.

Qualifications

While we list a diverse range of skills and experiences under our requirements, we are looking for someone who brings a broad subset of these qualifications.

  • Bachelor's degree in Computer Science or related field (or equivalent experience).
  • 5-10 years of experience with at least 5 years in Python, middleware and service development.
  • Senior level Python proficiency with proven experience in production systems.
  • Ability to use modern LLM-based coding tools to accelerate development with a small team and to leverage such tools for regression, integration testing, code reviews and building frontends for some backend services.
  • Strong hands-on Python experience developing web frameworks with RESTful API design and implementation; Asynchronous programming; Docker and Kubernetes.
  • Experience designing and maintaining distributed systems and service-oriented architectures.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Demonstrated ability to work across new development and legacy systems.
  • Solid understanding of git, github and version control best practices.
  • Demonstrated experience designing and implementing scalable backend systems and middleware solutions.
  • CI/CD pipeline design and DevOps best practices.
  • Some knowledge and experience with Apache Airflow workflows.
  • Preferred familiarity with Linux environments (Ubuntu).
  • Preferred strong understanding of database technologies (SQL and/or NoSQL).
  • Knowledge and experience with containerization and orchestration with Docker.
  • Preferred experience with messaging systems and event-driven architecture (Kafka, RabbitMQ, Redis Streams, AWS SQS, Celery, etc).

How to Apply

Please submit your resume and a cover letter outlining your relevant experience and explaining why you are the ideal candidate for this role to

emtelligent
is an equal opportunity employer and welcomes candidates from all backgrounds to apply.



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