Description

Diligent is seeking a Software Engineer II to join their team in Amsterdam, Netherlands. This role involves developing and improving their Third Party Risk Management (SaaS) platform using Laravel (PHP). The successful candidate will own features from implementation to deployment, mentor junior engineers, and utilize AI-powered tools like GitHub Copilot and ChatGPT to enhance productivity. They will also contribute to architectural discussions, ensure code quality, and adhere to Agile processes.

Required Skills

Laravel (PHP)
TALL stack (Tailwind, Alpine.js, Laravel, Livewire)
relational databases (MySQL / MariaDB)
RESTful APIs
AWS or similar cloud platforms
Git
Docker or containerised environments
debugging production issues
logs, monitoring, and observability tools
frontend technologies (Vue, React, or Blade)
GitHub Copilot, ChatGPT
LLM concepts (tokens, context length, hallucinations)

Additional Information

Required Previous Experiences: 3–5 years of professional software engineering experience in an agile, fast-paced environment
Preferred Qualifications: Strong experience with PHP and Laravel, within the TALL stack (Tailwind, Alpine.js, Laravel, Livewire)
Solid understanding of relational databases (MySQL / MariaDB), including query optimisation and data modelling
Experience designing and building RESTful APIs and working with system integrations
Practical experience with AWS or similar cloud platforms
Proficiency with Git and collaborative development workflows
Experience working with Docker or containerised environments
Comfortable debugging production issues and working with logs, monitoring, and observability tools
Working knowledge of frontend technologies (e.g., Vue, React, or Blade)
Collaboration & communication: Comfortable discussing architectural decisions, documenting designs (potentially with AI assistance), and presenting technical ideas clearly.
Practical experience using AI tools (e.g., GitHub Copilot, ChatGPT) in daily development workflows
Ability to use AI for tasks such as debugging, test generation, documentation, and research
Understands core AI concepts (e.g., LLM behavior, hallucinations, limitations)
Critically evaluates and validates AI-generated outputs before applying them
Aware of privacy, security, and data sensitivity when using AI tools
Uses AI to improve efficiency while maintaining engineering quality and ownership

About Diligent

Diligent

governance, risk and compliance (GRC)New York City, NY, US

https://www.diligent.com/

Founded: 1994

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Software Engineer II at Diligent

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