Software Engineer

Agilus Consulting Group; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

Agilus Consulting Group is recruiting a Software Engineer in Health Sciences for a hybrid role in Toronto, Ontario. The candidate will help design, build, and scale software platforms supporting large-scale data processing and scientific discovery.

The ideal candidate has strong experience in Python/Java/Go/C++, cloud-native architectures, APIs, databases, and distributed systems, with excellent communication and collaboration skills. Bachelor’s or higher in CS or related fields is preferred.

Qualifications

• Strong development experience in Python/Java/Go/C++ or similar.
• Experience building scalable cloud-native applications and distributed systems.
• Strong understanding of APIs, databases, and system design.

Responsibilities

• Design, develop, and maintain scalable software systems and applications.
• Build high-performance data pipelines and backend services.
• Collaborate with engineers, scientists, and data specialists.
• Contribute to architecture decisions and technical strategy.
• Improve reliability, performance, security, and scalability.
• Participate in code reviews and engineering best practices.
• Shape future technical direction of the organization.

Skills

Python

Java

Go

C++

Distributed systems

Cloud-native apps

APIs

Communication

Education

Bachelor's/Master's/PhD in Computer Science or related field

Tools

Kubernetes

Docker

Cloud platforms

Job description

Agilus by Synergie is recruiting for a Software Engineer in the Health Sciences in a hybrid work environment in Toronto, Ontario.

Our client is building a world-class Canadian organization focused on advancing data-driven innovation in healthcare and life sciences. They are seeking a highly talented Software Engineer to help design, build, and scale critical software platforms that support large-scale data processing, analytics, and scientific discovery.

You will:

• Design, develop, and maintain scalable software systems and applications.
• Build high-performance data pipelines and backend services.
• Collaborate with multidisciplinary teams including engineers, scientists, and data specialists.
• Contribute to architecture decisions and technical strategy.
• Improve system reliability, performance, security, and scalability.
• Participate in code reviews and champion engineering best practices.
• Help shape the future technical direction of a growing organization.

Successful candidates will have:

• Strong software development experience in modern programming languages such as Python, Java, Go, C++, or similar.
• Experience building scalable cloud-native applications and distributed systems.
• Strong understanding of software architecture, APIs, databases, and system design.
• Experience working within mature engineering environments and high-performing technology teams.
• Demonstrated ability to solve complex technical problems.
• Excellent communication and collaboration skills.
• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.

Total rewards:$120000.00 - $170000.00 annually

An ideal candidate has:

• Experience with large-scale data platforms.
• Exposure to healthcare, life sciences, genomics, or research environments.
• Experience with Kubernetes, Docker, cloud platforms, and modern DevOps practices.
• Contributions to open-source projects or technical communities.

This posting is for an active opening.