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Posted 4 days ago

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Senior .NET Engineer

TorontoHybridFull-time

AI Summary

A senior engineer who contributes to full-stack development, technical design, implementation, testing, deployment, and maintenance of Enable’s software platform.

About this role

Managing pricing and rebates shouldn’t be a hassle. Enable’s intelligent platform is built for the speed of today’s market, eliminating disconnects between pricing strategy and rebate execution. We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management.
After securing $291M in Series A-D funding and acquiring Flintfox in 2025, Enable is positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier professionals committed to reshaping the industry.
Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey.

Job Summary
As a Senior Engineer you will be responsible for contributing to our high-quality software engineering practices, be immersed in the full product engineering process, contributing to technical design, implementation, testing, deployment, and ongoing support and maintenance of our software. By going above and beyond implementing new features, we focus on customer experience, building high-quality, secure, and scalable software.

Duties and Responsibilities

  • Dedicated learning and development time.
  • Full-stack code development.
  • Pair programming.
  • Peer code reviews.
  • Modern architecture design.
  • Continuous integration and automated production deployments.
  • Application health and availability monitoring.
  • Software design patterns driving robustness, scalability, and performance.
  • Application security and secure coding practices.
  • Often drive team discussions and ceremonies.
  • Effectively communicate and proactively share information, so my manager, team, and stakeholders are informed and aligned.
  • Proactively encourage collaborative working within my team to overcome complex problems and technical challenges.
  • Contribute to collaboration outside of my immediate team.
  • Identify and lead collaboration with cross-functional teams such as Product Management and Platform teams.
  • Develop and demonstrate technical leadership skills within my team.
  • Lead with a problem-solving mindset.
  • Occasionally lead my team.
  • Leverage customer insights and data to inform decisions.
  • Balance value for the customer with other business goals in an informed manner.
  • Understand the implications of my decisions and adjust my approach based on the impact and risk in the short and long-term.

    • Required Education and Experience

  • 3 - 5 years’ professional software development experience
  • Architecture Design: Experience using some of these; microservices, event-driven, scalable architecture, and vertical slices.
  • Coding: At least two languages, one compiled/object orientated programming and one scripting.
  • Front-End Frameworks:Experience in frameworks like; Angular, Blazor, React and/or Typescript.
  • Databases: Experience of SQL, NoSQL.
  • Software Tooling: GIT, CI/CD, deployment tools like Octopus, GitHub actions, infrastructure as code and other DevOps practices.
  • Docker and/or Kubernetes containerization
  • RabbitMQ, Azure Service Bus, or other messaging brokers

    • Preferred Education and Experience

  • Coding: C# .NET is currently our core language and experience of that is preferred but not essential.
  • Databases: We use SQL Server and Cosmos, but others like Aurora, Postgres, MongoDB and Cassandra are acceptable. Enterprise scale data store knowledge is a bonus.
  • Web: Experience of web acceleration, HTTP/2 and performance through CDN, Cache, and Load Balancers is a bonus.
  • Cloud: We are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable.
  • Big Data Processing: We process enterprise scale volumes of data. Having experience of ways of working with these for example parallel processing, BI systems, Data lakes, Kafka, Spark, Databricks, and/or Snowflake is a bonus.

    • Skills

    AngularAzureBlazorC++DockerKubernetes.NETNoSQLRabbitMQReactSQLTypeScript

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