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Software Engineer II

Job in Vancouver, BC, Canada
Listing for: Diligent
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    AWS, Backend Developer, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 CAD Yearly CAD 110000.00 YEAR
Job Description & How to Apply Below
Position Overview  As a Software Engineer II at Diligent, you’ll take on a hands‑on technical role in building secure, scalable, and high‑performing serverless microservices using Type Script on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements.

Position Overview  As a Software Engineer II at Diligent, you’ll take on a hands‑on technical role in building secure, scalable, and high‑performing serverless microservices using Type Script on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements.

This role is ideal for a mid‑level engineer who writes solid code and embraces AI‑powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows.

Key Responsibilities   Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event‑driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services.
Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production.
Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements.
Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and
applying judgment.
Required Experience/Skills   3–5 years of professional software engineering experience in an agile, fast-paced environment.
AI Tooling & Practices:
Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics).
Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness).
Cloud & infrastructure basics:
Hands‑on with AWS services; familiarity with infrastructure as code (CDK, Terraform).
CI/CD mindset:
Experience or interest in CI/CD pipeline setup and exploring AI-assisted Dev Ops tooling.
Backend Proficiency:
Builds RESTful APIs with Node.js/Type Script, employs Git for version control, and has hands‑on experience with SQL databases (e.g., PostgreSQL).
Frontend familiarity:
Experience using React or Angular for modern web interfaces.
Collaboration & communication:
Comfortable discussing architectural decisions, documenting designs, and presenting technical ideas clearly.
Pay Range  $110,000—$120,000 CAD
About Us  Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C‑Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look…
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