Principal engineer

BV Azumuta

Oost-Vlaanderen

Sur place

EUR 65 000 - 85 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Meal vouchers

Healthcare benefits

Flexible hours

Top-notch equipment

Ownership & impact

Fun & team spirit

Unlimited snacks & drinks

Azumuta merchandise

Résumé du poste

An innovative software company in Belgium is seeking a Staff Engineer to build and guide software engineering practices across a range of product capabilities. In this role, you will solve complex problems, collaborate across teams, and drive modern engineering practices while ensuring the product scales effectively. The ideal candidate will have SaaS experience and a hands-on approach to technology with a focus on continuous improvement and team development.

Qualifications

Experience with SaaS products in production.
Comfortable with modern CI/CD practices and a strong testing culture.
Hands-on approach to software engineering and code.
Ability to adapt and learn new technologies quickly.

Responsabilités

Design and implement robust full-stack solutions.
Collaborate on improving performance and reliability.
Ship clean, scalable, and well-tested code.
Own and enhance the stack across backend and frontend.

Connaissances

SaaS product experience

CI/CD modern practices

Complex problem solving

Team collaboration

Testing culture

Outils

Node.js

TypeScript

React

PostgreSQL

Description du poste

As a Staff Engineer at Azumuta, you help us define what great software engineering looks like in this new reality. You are both a builder and a guide. You cannot do one without the other.

You spend a significant part of your time building real product capabilities across our stack (Node.js, TypeScript, React, PostgreSQL, cloud infrastructure, CI/CD pipelines). At the same time, you help the team rethink how software is built, tested, shipped, and operated so we can move faster without losing ownership, control or understanding of our product and technology.

You continuously ask questions like:

How do we build our product faster while still owning our code, architecture, and technical decisions?
How do we use AI and agentic development to increase leverage without ending up with a codebase nobody truly understands?
How do we scale R&D productivity, not just R&D headcount?
How do we run fast experiments and short learning cycles while still shipping reliable SaaS software?

You work closely with engineers, product managers, and designers to understand real customer problems, explore where new technologies (including AI) can genuinely add customer value and turn the right ideas into production-ready solutions through fast experimentation and short feedback loops.

🚀 What You’ll Be Doing:

Build: what you’ll do hands-on

Solve complex product problems

Design and implement robust full-stack solutions for complex industrial workflows. Collaborate with Product to translate real-world manufacturing problems into clear, usable software.
Own the stack end to end

Work across backend APIs, frontend components, data flows, and integrations. Improve performance, reliability, and maintainability across the platform.
Ship fast, without breaking things

Write clean, scalable, well-tested code. Balance speed with long‑term quality and technical ownership.
Build secure, scalable SaaS systems

Contribute to a platform that is secure, resilient, and ready to scale to thousands of users across multiple markets.
Measure and improve

Use metrics, incidents, and user feedback to continuously improve reliability, performance, and usability.

Guide: how you raise the bar for the team

Push modern engineering practices

Actively drive disciplined development practices: short feedback loops, strong testing culture, CI/CD automation, and rigorous code reviews. You don’t just follow best practices, you help make them the norm.
Shape agentic development responsibly

Be a champion for AI-assisted and agentic development. Experiment, set guardrails, and help the team move faster without losing control over product knowledge or system complexity.
Improve delivery predictability

Challenge slicing, scope, and planning decisions. Help teams move from “busy” to “predictable” without introducing heavy process.
Strengthen SaaS operational maturity

Bring real-world SaaS experience into everyday decisions: monitoring, alerting, incident awareness, infrastructure as code, and cost-quality trade-offs.
Grow engineering leadership

Coach engineers through collaboration and example. Over time, help at least one engineer grow into a stronger delivery-focused leadership role.

AI agents on the shop floor
What happens when software acts autonomously in planning, execution, and verification?
Humanoids and advanced robotics
What changes when the “operator” is no longer human?
Higher autonomy and variability
How do we increase flexibility without losing control or traceability?
Faster feedback loops
How do we shorten the gap between execution, insight, and improvement?

🎯 You’d Be a Great Fit If You…

Have worked on a real SaaS product in production.
Have seen incidents, outages, and operational trade‑offs.
Have helped improve engineering practices in a team before.
Are comfortable with modern CI/CD, testing culture, and code review rigor.
Stay hands‑on and dive into code when it matters.
Are willing and able to learn our tech stack quickly. Mindset beats prior framework knowledge.