Engineering Team Member

Engineering Team Member
Lisboa
Porto Salvo, Lisboa, Portugal

THE JOB: Engineering Team Member

The Shift: From Code Writers to Engineers

We don't hire developers to write code anymore. We hire engineers to solve problems.

At Coreflux, we use AI-assisted development tools like Cursor as our primary interface for building software. This means we're not looking for someone who can type code fast—we're looking for someone who can think clearly, design elegant solutions, and orchestrate AI tools to bring them to life.

The best engineers in this new paradigm aren't measured by lines of code written. They're measured by problems solved, systems understood, and value delivered.

What You'll Actually Do

- Architect solutions — Break down complex IIo
T challenges into
- structured, modular components

- Orchestrate AI tools — Use Cursor, Claude, and other AI assistants to generate, review, and iterate on code

- Ensure quality — Review AI-generated code with a critical eye; understand what "good" looks like even if you didn't type it

- Think in systems — Our platform connects industrial equipment, databases, AI assistants, and everything in between. You'll need to see the big picture.

- Learn our domain — MQTT, industrial protocols (Modbus, OPC UA, S7),
- time data transformation, and the Language of Things (Lo
T)

What We're Looking For[REQUIRED] — The Mindset

- Strong
- solving ability — Can you decompose a vague requirement into actionable technical steps?

- Systems thinking — Understand how components interact; anticipate edge cases and failure modes

- Technical literacy — You should be able to read and understand code in one our two of the following languages. NET (C#), Java
Script/Type
Script, Rust, Go and Python, even if AI writes most of it

- Quality instincts — Know the difference between code that works and code that's maintainable, secure, and performant

- Curiosity and adaptability — The tools are evolving fast. So should you.

[REQUIRED] — Technical Foundation

- Understanding of software architecture patterns (OOP,
- driven, microservices)

- Familiarity with REST APIs, cloud infrastructure, and CI/CD pipelines

- Ability to review, debug, and refine AI-generated code

- Comfortable working with documentation and learning new
- specific languages (like Lo
T)

[NICE TO HAVE]

- Experience with Io
T

- Experience with Kubernetes, Docker, and container orchestration

- Familiarity with cloud platforms (AWS, Azure, GCP) and
-
- code

- Exposure to MQTT

- Interest in data pipelines, machine learning, or edge computing

What This Is NOT

❌ A role where you'll spend 8 hours typing syntax

❌ A place where "years of experience in X framework" matters more than thinking ability

❌ An environment where you'll be judged by commit frequency

What This IS

✅ A role where you'll spend time understanding problems and designing solutions

✅ A place where clear thinking and architectural vision are valued over typing speed

✅ An environment where you'll work alongside AI tools as collaborators, not replacements

Why This Matters

We believe the future of engineering is human judgment + AI execution. The engineers who thrive won't be the ones who memorize APIs—they'll be the ones who understand why systems are built the way they are, and can guide AI to build them better.

If you've ever felt frustrated that so much of "development" is repetitive boilerplate, and you'd rather focus on the interesting architectural and
- solving work—this is your role.

Still Interested?

If this resonates with you, apply. Even if you don't check every box. We'd rather hire someone who thinks well and learns fast than someone with a perfect resume who can't adapt.