Senior Application Developer

Toronto, ON
Hybrid
Posted Oct 16, 2026
1 position

$60–$74 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 2 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, test, deploy, and support enterprise applications, APIs, and cloud-native solutions, while contributing to modernization, production support, and AI integration. Maintain CI/CD pipelines and deployments, improve data platforms such as Snowflake, apply security and governance controls, and collaborate with technical and business stakeholders.

Job details

Senior Application Developer, .NET, Cloud & Data Platforms (12-Month Contract) Toronto, ON (Waterloo also considered) | Hybrid, 2 days on site | Start: Late November Rate: $60 to $74/hr (Inc.) About the opportunity Our client, a leading Canadian financial institution, is looking for a Senior Application Developer to join a data and digital engineering team. The team owns the applications behind enterprise data platforms and analytics, and is increasingly building AI-enabled solutions. You’ll be backfilling a senior engineer on critical platform and application work, with a lot of modernization, API development, and AI integration on the roadmap. What you’ll do Design, build, test, deploy, and support applications, APIs, and cloud-native solutions Take part in application modernization, code reviews, and production support Build and maintain CI/CD pipelines and automate infrastructure and deployments Support and improve modern data platforms (Snowflake and related tools) alongside data engineers Apply security, access, monitoring, and governance controls across applications Troubleshoot complex integration issues and deliver lasting fixes Work with architects, product owners, and business stakeholders, and help set engineering best practices Must-have 5+ years in software development, cloud engineering, DevOps, or data engineering 3+ years hands-on with C#, .NET / .NET Core, Python, SQL, and Blazor or a similar web framework Proven track record building and supporting enterprise applications and APIs in production Strong grasp of software architecture and cloud-native patterns CI/CD experience with Azure DevOps, GitHub Actions, or similar AWS experience (EC2, S3, RDS, EKS, IAM, CloudWatch) Docker and Kubernetes / containerized deployments Familiarity with Snowflake or a comparable cloud data platform Nice-to-have AI engineering, AI application development, or intelligent automation experience (highly regarded) Self-service analytics, data products, or data marketplace experience Financial services, insurance, or other regulated industry background PostgreSQL or other relational databases Power BI or Tableau DevSecOps tools such as Snyk or Checkmarx Mentoring or technical leadership in agile teams Who thrives here You understand requirements before designing solutions, ask sharp discovery questions, and spot improvements on your own. You communicate clearly, juggle multiple projects, and are comfortable giving recommendations and leading technical discussions. Curiosity and initiative matter as much as technical depth. Details Duration: 12 months, full time (Mon to Fri, 9 to 5) Extension or conversion possible, based on business needs Education: Bachelor’s in Computer Science, Engineering, IT, or a related field preferred. Equivalent training and experience will be considered Background check required Interview: Virtual round with the hiring manager, with an optional onsite technical round

What you’ll do

Requirements

Requires at least five years of relevant software, cloud, DevOps, or data engineering experience, including three or more years of hands-on experience with C#, .NET, Python, SQL, and Blazor or a similar framework. Candidates should have production experience with enterprise applications and APIs, cloud-native architecture, CI/CD, AWS, containers, and a cloud data platform; a related bachelor's degree is preferred or equivalent training and experience is accepted.