Capco

Capco

Back-End - .NET, API, AI Ready

Canada - Toronto

Sponsorship not specified$118k-$152kDetected 32 days ago
ReactCSSTailwind CSS.NETFull-Stack DevelopmentCode ReviewSQLSnowflakeAzureCloud PlatformsDockerCI/CDRESTOAuthAgileRecruitingCommunicationCollaborationProblem SolvingMentoring

About the role

  • Capco is seeking a Mid-Level Full Stack Engineer with strong.NET and React experience to join our Technology & Engineering practice in Toronto.
  • Working alongside experienced engineers, product teams, and quality specialists, you will contribute to the delivery of secure, scalable, and high-performing applications while leveraging AI-assisted development practices to improve efficiency and quality.
  • We are currently hiring for this role due to an existing or newly created vacancy within our organization.

Responsibilities

  • Design, develop, and maintain scalable web applications using.NET, React, SQL Server, and modern development practices.
  • Build secure RESTful APIs, implementing authentication and authorization mechanisms such as JWT and OAuth2 while ensuring consistent validation and error handling.
  • Create responsive and accessible user interfaces using React and modern front-end technologies, delivering reliable user experiences.
  • Business Coach from Day 1 with personalized one-on-one coaching to support career growth and professional development.
  • At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition.
  • AI is used as a support tool only.

Requirements

  • 5+ years of professional software engineering experience with strong hands-on expertise in.NET, ASP.NET Core, and REST API development.
  • Working proficiency in React, SQL Server, Docker, and data access technologies such as Dapper and/or Entity Framework Core.
  • Experience working within established development processes, including source control, code reviews, CI/CD pipelines, and agile delivery environments.
  • Strong collaboration, communication, problem-solving, and troubleshooting skills with the ability to work effectively within cross-functional teams.
  • Experience with Tailwind CSS and modern component libraries such as shadcn/ui.
  • Familiarity with Snowflake and data platform integrations.
  • Experience contributing to technical documentation, runbooks, and API documentation.

Compensation

  • The salary range for this position is listed below.
  • Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
  • Capco is committed to providing fair and equitable compensation to our people.
  • Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time.
  • The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
  • Canada Pay Transparency

Benefits

  • Comprehensive Benefits Coverage - 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
  • Retirement Savings Program - Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution.
  • Virtual Health Care and Employee & Family Assistance Program (EFAP) available to employees and their dependents/partners.
  • Parental Leave Top-Up, New Parent Gift, and Wellness Support including fitness reimbursement benefits.
  • Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Company info

  • This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
  • What We're Looking For
  • At Capco, we believe that being yourself is your greatest strength.

This listing is sourced directly from Capco's careers page and normalized into a canonical job model.