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Senior Software Engineer, Learning Platform

Secure Code Warrior -
Bruges

Soumettre votre candidature

Détails de l'emploi

Temps plein

Qualifications

CI/CD
Infrastructure cloud
Node.js
Conception de logiciels
React
Kubernetes
Développement full stack
NoSQL
Git
Test-driven development
MongoDB
SQL
AWS
Gestion de bases de données
Docker
JavaScript
PostgreSQL
GitHub
APIs
Cyber-sécurité
Intelligence artificielle
TypeScript
Compétences en communication

Description complète du poste

Software development is changing fast, and code is no longer written by humans alone. Secure Code Warrior is the AI Software Governance platform that gives organizations visibility into how their software is created, strengthens developer capability, and reduces risk before code reaches production. Built on a decade as the world's leading secure coding training platform, we're trusted by enterprises worldwide. We're a venture-backed company with offices in Australia, the United States, Belgium, Iceland, and the United Kingdom.

Join Secure Code Warrior and help us in our mission to create a safer digital landscape. We’re empowering organizations to secure their software–no matter how the code is written!

Our Engineering team is focused on building a reliable product that educates our users. As an organization, we are also pioneering robust AI Software Governance solutions. While that broader mission is a key part of our future, your team's specific focus in this role will be directly on developing and enhancing our core Learning Platform. We are looking for an experienced Senior Software Engineer to join our Bruges team and help us build these critical educational tools.

In this role, you will work on delivering features that help developers learn to write secure software and understand the usage of AI. You will be part of a collaborative team, working alongside engineers across multiple regions to evolve our architecture and consistently deliver value.

We actively utilize AI—not just as a subject we teach our users, but as a practical tool in our own software development. If you are a versatile developer who enjoys a collaborative environment and using modern tools to build good software, we would love to have you on our team.

What You Will Do

Drive Product Innovation: Architect, build, and deliver robust, scalable features for our Learning Platform that directly impact how external developers learn secure coding and AI principles
Full-Stack Development: Write clean, maintainable, and efficient code across our core stack, primarily utilizing Node.js on the backend and React on the frontend
Database Management: Design, optimize, and interact with various database technologies, maintaining high performance across both MongoDB (NoSQL) and PostgreSQL (SQL) environments
Legacy Modernization: Navigate, maintain, and systematically modernize existing legacy codebases. Your versatility as an all-around developer will be crucial here
Champion AI-Assisted Engineering: Actively utilize and advocate for AI coding assistants and LLMs in your daily workflow to accelerate development, improve test coverage, and enhance overall code quality
Collaborate and Mentor: Work closely with cross-functional teams (Product, Design) and partner with other engineering squads to align on shared goals in a fast-paced environment. Participate actively in pair programming, code reviews, and architectural discussions to elevate the team's technical capabilities

What You Will Bring

Experience: 5+ years of relevant professional experience as a full-stack software engineer in a SaaS or enterprise environment
Core Technologies: Advanced proficiency in JavaScript/TypeScript, Node.js, and modern React
Data Fluency: Hands-on experience designing and managing data models in both MongoDB and PostgreSQL
AI Proficiency: Comfort and experience using AI development tools (e.g., GitHub Copilot, ChatGPT, Claude) to boost productivity. You understand how to prompt effectively and review AI-generated code critically
Adaptability: A proven track record of diving into legacy code, understanding its context, and making safe, iterative improvements without disrupting existing functionality
Engineering Best Practices: Deep understanding of RESTful APIs, version control (Git), and modern software design patterns
Team Player mindset: Excellent communication skills and a willingness to pair program, share knowledge, and collaborate daily with your peers

You Will Stand Out If You Also Have

Hands-on experience with cloud infrastructure and deployment (AWS, Docker, Kubernetes, CI/CD pipelines)
Strong background in Test-Driven Development (TDD) and automated testing frameworks
Experience using and interacting with AI agents in your development workflow
A passion for cybersecurity and a fundamental understanding of secure coding practices (OWASP Top 10, etc.)

You're joining us at an exciting stage of our journey, and you’re a key piece to what comes next. Expect real room to create impact and deliver on your ideas. The pace is quick and the bar is high; in return, you get genuine ownership and the kind of growth that only comes from building something that matters.

We also know you do your best work when you're rested and energized. Flexibility here runs on trust: we trust you to deliver when it counts, and we trust you to take the time you need to recharge. With teammates around the world, your hours can flex to fit your life, backed by generous leave and work-from-home options that help you make work work for you.

You'll join a tight-knit team that values humility and giving back, both to the community and to each other. Making the world a little brighter as we make it more secure is part of being a Warrior.

We live and work by the Warrior Code. It means getting feedback you can trust, shared without fear. It means no genius jerks: how you treat people counts as much as what you deliver. We do what we say we'll do, we celebrate the wins properly, and we do the right thing even when no one's watching. Come as you are, bring your best, and we'll do the same.

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machine learning engineer emplois - brugge

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