Job Description:

Insight Global is seeking a Senior Platform Software Engineer to join a leading retail client in Vancouver, BC. This role will focus on building and enhancing scalable backend services within a Microsoft-centric ecosystem, leveraging modern cloud and distributed system patterns. You will join a team of engineers supporting platform modernization initiatives, technical debt remediation, feature development, and test automation across four platform domains: Product, Order, Guest, and Core Event Messaging. As a key contributor, you will be responsible for implementing technical designs into production-ready solutions, working primarily with .NET, C#, APIs, and event-driven/pub-sub architectures. This role is scoped for a strong mid-to-senior level engineer who can operate independently within an established architecture and development framework. In addition to software development, this role will play a critical part in advancing the organization's testing capabilities. The successful candidate will help establish scalable automated testing practices, with a focus on designing and implementing a functional testing framework that can be leveraged across multiple engineering teams. This individual will bring a strategic approach to test automation, helping improve consistency, quality, and reliability across the Product, Order, Guest, and Core Event Messaging domains. You will collaborate closely with platform and product engineering teams to deliver high-quality, reliable services in a cloud-based environment, primarily within AWS. While you will not be responsible for translating business requirements into system design, you will play a critical role in executing technical designs and driving best practices across performance, scalability, maintainability, and automated testing. The team is highly collaborative and values strong cultural alignment, ownership, and a product-minded approach to engineering.

Must Haves:

• 5+ years of experience in software engineering with a focus on backend/platform development
• Strong experience with Microsoft stack technologies including .NET and C#
• Experience building and maintaining APIs and distributed systems
• Exposure to AI engineering workflows or tooling
• Hands-on experience with event-driven or pub/sub asynchronous architectures
• Experience working in AWS cloud environments
• Experience using/ engineering systems to be consumed by other engineering teams
• Proven project experience with automation or process improvement.
• Ability to take technical designs and implement solutions independently with minimal oversight
• Working with cloud deployed workloads is key.

Plusses:

• Experience with test automation frameworks and practices
• Experience implementing and leveraging observability tools (Datadog preferred and experience dashboarding in it)
• Experience with Kiro or a similar AI-assisted development tools such as Cursor