Senior Application Developer (AWS, C#)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Application Developer (AWS, C#) based in Canada.

This is a senior software engineering opportunity focused on building innovative, cloud-native SaaS products for clinical analytics. You will design and develop complex, event-driven and distributed applications that support data-intensive workflows and decision-making. The role combines deep backend engineering with extensive use of AWS services and modern .NET technologies. You’ll work in small, agile teams alongside engineers, DevOps professionals, and UX/UI designers to deliver impactful product features. The environment encourages technical ownership, creative problem-solving, collaboration, and continuous learning. You’ll have the opportunity to work with emerging technologies, including generative AI and Amazon Bedrock. This role is well suited to an experienced developer who enjoys solving challenging technical problems and building products with real-world impact.

Accountabilities:: Design, develop, test, and deliver scalable software products using C#/.NET and AWS cloud technologies.

Build and maintain event-based, distributed applications and cloud-native SaaS solutions.

Develop product features using AWS services such as ECS, S3, EventBridge, Lambda, Step Functions, Route 53, RDS PostgreSQL, DynamoDB, DocumentDB, and Glue.

Implement robust application architecture with a focus on scalability, reliability, security, and maintainability.

Develop and integrate messaging-based solutions, including RabbitMQ and similar technologies.

Collaborate closely with UX/UI designers, DevOps professionals, and fellow engineers throughout the product development lifecycle.

Participate actively in Agile/Scrum ceremonies, planning, technical discussions, code reviews, and iterative delivery.

Contribute to application monitoring, observability, troubleshooting, and performance optimization.

Apply secure development practices and support a shift-left approach to application security.

Contribute to integrations with third-party authentication and security services.

Explore and implement innovative capabilities involving generative AI and cloud-based AI services where appropriate.

Translate complex technical challenges into practical, understandable solutions for both technical and non-technical stakeholders.

Requirements:

6+ years of professional experience building and delivering event-based, distributed software products.

3+ years of experience developing and deploying SaaS products in an AWS cloud environment.

Strong hands-on experience with AWS services, particularly ECS, S3, EventBridge, Lambda, Step Functions, Route 53, RDS PostgreSQL, DynamoDB, DocumentDB, and Glue.

Strong proficiency in C# and .NET 8.

Experience with messaging systems; RabbitMQ experience is preferred.

Proven experience working in Agile/Scrum development environments.

Strong understanding of cloud-native application development, distributed systems, and SaaS architectures.

Excellent verbal and written communication skills, with the ability to explain complex technical concepts clearly.

Strong collaborative mindset and ability to work effectively with multidisciplinary teams.

Demonstrated creative problem-solving skills, ownership, initiative, and willingness to learn new technologies.

Experience with application monitoring and observability platforms such as Instana, New Relic, or Datadog is desirable.

Experience integrating third-party authentication services, such as Auth0, is a plus.

Experience developing generative AI features or working with Amazon Bedrock is an advantage.

Familiarity with security-focused development practices and tools such as Snyk is desirable.

Bachelor’s degree in Computer Science, Computer Engineering, or an equivalent discipline is preferred.

Experience in clinical, bioinformatics, healthcare, or other life-sciences environments is a plus.

Benefits:

Full-time, remote position based in Ontario, Canada.

Opportunity to work on innovative SaaS products supporting clinical analytics and health sciences.

Exposure to modern cloud-native technologies and a broad AWS technology stack.

Opportunity to work with emerging generative AI technologies and Amazon Bedrock.

Agile, collaborative environment with small, cross-functional engineering teams.

Opportunities to work closely with UX/UI, DevOps, and software engineering professionals.

Strong opportunities for technical learning, innovation, and professional growth.

Ability to contribute to products designed to accelerate scientific research and improve health-related decision-making.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1