Application Developer to develop enterprise applications and APIs using C#, .NET Core, Python, SQL, and cloud-native platforms - 1815

S.I. Systems Ltd.; Toronto; Hybrid; CAD 105,000 - 145,000; Full time

Job summary

S.I. Systems Ltd. is seeking an experienced Application Developer to design, build, and support enterprise applications and APIs using C#, .NET Core, Python, and SQL in a cloud-native environment.

The role is based in Downtown Toronto/Waterloo with hybrid onsite support two days per week (three days optional). You will contribute to modernization, API development, cloud engineering, DevOps automation, and data platform initiatives including Snowflake and AWS services, collaborating with AI and

Qualifications

• 5+ years of software development, cloud engineering, DevOps, or data engineering.
• 3+ years hands-on development with C#, .NET Core, Python, SQL, Blazor.
• Proven experience designing, developing, deploying, and supporting enterprise applications and APIs in production environments.
• Strong understanding of software engineering principles, application architecture, and cloud-native development patterns.
• Hands-on experience building and maintaining CI/CD pipelines using Azure DevOps, Azure Pipelines, GitHub Actions, or similar tools.

Responsibilities

• Design, develop, test, deploy, and support applications, APIs, and cloud-native solutions.
• Participate in application modernization, code reviews, testing, and production support activities.
• Build and maintain CI/CD pipelines, Infrastructure as Code, and deployment automation frameworks.
• Automate infrastructure provisioning, application deployments, monitoring, and operational processes.
• Support and enhance data and analytics platforms including Snowflake.
• Implement security, access management, monitoring, and governance controls across applications and platforms.
• Collaborate with architects, product owners, engineers, technical program managers, and business stakeholders.

Skills

C#

Python

SQL

Blazor

Cloud-native development

DevOps

CI/CD

Azure DevOps

AWS

Docker

Kubernetes

Snowflake

Tools

GitHub Actions

Job description

Application Developer to develop enterprise applications and APIs using C#, .NET Core, Python, SQL, and cloud-native platforms - 1815

Location: Downtown Toronto /Waterloo - Hybrid, onsite 2 days per week (3 days optional)

Join a Data & Digital engineering team supporting enterprise data platforms, analytics ecosystems, and AI-enabled solutions within a large insurance environment. This role contributes to application modernization, API development, cloud engineering, DevOps automation, and data platform initiatives involving Snowflake and AWS services. The team works closely with AI, Operations, and enterprise technology stakeholders on scalable platform capabilities and modernization efforts. The position offers exposure to enterprise-scale application development and emerging AI-focused initiatives.

Must Haves

• 5+ years of experience in software development, cloud engineering, DevOps, or data engineering.
• 3+ years of hands-on development experience using:
• C#
• Python
• SQL
• Blazor or similar web application frameworks.
• Proven experience designing, developing, deploying, and supporting enterprise applications and APIs in production environments.
• Strong understanding of software engineering principles, application architecture, and cloud-native development patterns.
• Hands-on experience building and maintaining CI/CD pipelines using Azure DevOps, Azure Pipelines, GitHub Actions, or similar tools.
• Experience working with AWS services, including:
• EC2
• S3
• RDS
• EKS
• IAM
• CloudWatch.
• Experience with Docker and Kubernetes/containerized application deployments.
• Familiarity with Snowflake or comparable cloud-based data and analytics platforms.

Nice to Have

• AI engineering, AI application development, or intelligent automation experience. Candidates who have contributed to AI-enabled solutions will be highly regarded.
• Experience supporting self-service analytics, data products, or data marketplace initiatives.
• Experience with Azure DevOps, GitHub Actions, Docker, Kubernetes, and modern platform engineering tools.
• Experience working within financial services, insurance, asset management, or other regulated industries.
• Working knowledge of PostgreSQL or other relational database technologies.
• Familiarity with Power BI, Tableau, and modern analytics technologies.
• Exposure to DevSecOps tools such as Snyk, Checkmarx, or similar security technologies.
• Experience with mentoring developers or providing technical leadership within agile teams.

Responsibilities

• Design, develop, test, deploy, and support applications, APIs, and cloud-native solutions
• Participate in application modernization, code reviews, testing, and production support activities
• Build and maintain CI/CD pipelines, Infrastructure as Code, and deployment automation frameworks
• Automate infrastructure provisioning, application deployments, monitoring, and operational processes
• Support and enhance data and analytics platforms including Snowflake
• Implement security, access management, monitoring, and governance controls across applications and platforms
• Collaborate with architects, product owners, engineers, technical program managers, and business stakeholders

Duration: 1 2 monthsto start

Location: Downtown Toronto /Waterloo - Hybrid, onsite 2 days per week (3 days optional)

Join a Data & Digital engineering team supporting enterprise data platforms, analytics ecosystems, and AI-enabled solutions within a large insurance environment. This role contributes to application modernization, API development, cloud engineering, DevOps automation, and data platform initiatives involving Snowflake and AWS services. The team works closely with AI, Operations, and enterprise technology stakeholders on scalable platform capabilities and modernization efforts. The position offers exposure to enterprise-scale application development and emerging AI-focused initiatives.

Must Haves

• 5+ years of experience in software development, cloud engineering, DevOps, or data engineering.
• 3+ years of hands-on development experience using:
• C#
• .NET / .NET Core
• Python
• SQL
• Blazor or similar web application frameworks.
• Proven experience designing, developing, deploying, and supporting enterprise applications and APIs in production environments.
• Strong understanding of software engineering principles, application architecture, and cloud-native development patterns.
• Hands-on experience building and maintaining CI/CD pipelines using Azure DevOps, Azure Pipelines, GitHub Actions, or similar tools.
• Experience working with AWS services, including:
• EC2
• S3
• RDS
• EKS
• IAM
• CloudWatch.
• Experience with Docker and Kubernetes/containerized application deployments.
• Familiarity with Snowflake or comparable cloud-based data and analytics platforms.

Nice to Have

• AI engineering, AI application development, or intelligent automation experience. Candidates who have contributed to AI-enabled solutions will be highly regarded.
• Experience supporting self-service analytics, data products, or data marketplace initiatives.
• Experience with Azure DevOps, GitHub Actions, Docker, Kubernetes, and modern platform engineering tools.
• Experience working within financial services, insurance, asset management, or other regulated industries.
• Working knowledge of PostgreSQL or other relational database technologies.
• Familiarity with Power BI, Tableau, and modern analytics technologies.
• Exposure to DevSecOps tools such as Snyk, Checkmarx, or similar security technologies.
• Experience with mentoring developers or providing technical leadership within agile teams.

Responsibilities

• Design, develop, test, deploy, and support applications, APIs, and cloud-native solutions
• Participate in application modernization, code reviews, testing, and production support activities
• Build and maintain CI/CD pipelines, Infrastructure as Code, and deployment automation frameworks
• Automate infrastructure provisioning, application deployments, monitoring, and operational processes
• Support and enhance data and analytics platforms including Snowflake
• Implement security, access management, monitoring, and governance controls across applications and platforms
• Collaborate with architects, product owners, engineers, technical program managers, and business stakeholders

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.