Software Engineer II

Diligent Corporation•Vancouver, BC

66d•CA$90,000 - CA$107,000•Hybrid

About The Position

As a Software Engineer II at Diligent, you’ll play a hands-on technical role building and operating the core services that power the Diligent One Platform. Our team owns its services end to end — from architecture and implementation through deployment, monitoring, and on-call support. If you care deeply about what you ship and want real ownership over production systems, you’ll fit right in. We build secure, scalable, event-driven microservices using TypeScript on AWS, and we treat infrastructure as a first-class concern. You’ll work alongside a tight-knit team that values engineering rigor, iterative delivery, and responsible use of AI tooling to move faster without cutting corners.

Requirements

2–4 years of professional software engineering experience in an agile, backend-focused environment.
Backend fundamentals: Solid understanding of how backend systems are structured — request lifecycles, data persistence, error handling, and writing readable, maintainable code. Comfortable with Node.js/TypeScript and SQL databases.
API design principles: Understands what makes an API well-designed — clear contracts, consistent error responses, appropriate versioning, and security considerations. Practical REST experience required.
Testing mindset: Understands the value of different test types (unit, integration, end-to-end) and writes tests as part of normal development — not as a separate phase.
Cloud awareness: Has worked in a cloud environment (AWS preferred) and understands core concepts like managed services, scalability, and infrastructure ownership. Hands-on experience with specific services is a plus, not a prerequisite.
CI/CD fundamentals: Understands the principles of continuous integration and delivery; has worked in a team that ships to production frequently and safely.
Infrastructure as code concepts: Familiar with the idea of defining infrastructure declaratively; prior exposure to CDK, Terraform, or similar tools is welcomed but not required.
AI Tooling: Uses AI tools to boost productivity; understands prompt engineering basics and evaluates AI outputs critically.
Ownership mindset: Takes responsibility for what they build — follows through from implementation to deployment, monitoring, and iteration.

Nice To Haves

Hands-on experience with AWS serverless services (Lambda, S3, SQS, DynamoDB).
Practical experience with infrastructure as code tools (AWS CDK preferred, Terraform, or similar).
Familiarity with event-driven architecture and platform patterns (e.g. event buses, pub/sub, message routing — AWS EventBridge or similar).
Experience with identity or entitlement systems (OAuth 2.0, SCIM, OIDC).
Familiarity with MCP (Model Context Protocol) or AI-integrated backend services.
Prior work in multi-tenant SaaS platform services.

Responsibilities

Design and implement secure, scalable backend services using AWS serverless technologies (Lambda, SQS, API Gateway), with a strong emphasis on event-driven patterns, observability, and operational simplicity.
Own your services in production — participate in on-call rotations, monitor system health, and proactively address reliability and performance issues.
Build and maintain infrastructure as code using AWS CDK, and champion CI/CD best practices that support continuous, low-risk delivery to production.
Design and document well-structured RESTful APIs, collaborating with consuming teams to ensure contracts are clear, versioned, and reliable.
Write thorough automated tests — unit, integration, and end-to-end — as a first-class part of delivery, not an afterthought.
Contribute to architectural discussions and technical design with pragmatism and clarity; document decisions so the whole team can build on them.
Use AI tools to accelerate coding, debugging, testing, and research — always applying judgment and validating outputs.