Software Engineer
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Summary
Hybrid Software Engineer role in Toronto building scalable software platforms for large-scale data processing, analytics, and scientific discovery at a healthcare/life-sciences client recruited by Agilus. Day-to-day: designing backend services and data pipelines in languages like Python, Java, Go, or C++, and contributing to architecture and DevOps practices.
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.
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.