Senior Full-Stack Software Engineer

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

Job location: Portugal or Spain (Remote model)

Contract type: Employee / Fixed-term / Contractor B2B

Target start date: ASAP
⏰ Working hours: Full-time

Compensation: €35,000 - €55,000 gross per year

What You'll Architect

As a Senior Full-Stack Software Engineer , you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

This role is both technical and consultative, perfect for someone who can combine full-stack development , cloud-native engineering , backend API design , and modern software delivery practices . We're looking for professionals who can build scalable products that support enterprise-grade AI and data platforms.

Key Responsibilities

• Design, develop, and maintain full-stack applications supporting AI and data-driven business solutions.

• Build modern frontend applications using React 18 and TypeScript .

• Develop scalable backend services and APIs using FastAPI , Python , Node.js , and TypeScript .

• Design and implement integrations with enterprise systems and data sources through APIs and connectors.

• Work with PostgreSQL , Amazon RDS , and Amazon DynamoDB to support application persistence and performance.

• Contribute to the development and maintenance of a shared NX monorepo architecture.

• Implement and maintain automated testing , quality controls, and regression testing practices.

• Support CI/CD processes through GitHub Actions , Sonar , Dependabot , and modern DevOps practices.

• Collaborate closely with AI Engineers , Cloud Engineers , Architects , Product teams, and business stakeholders.

• Contribute to technical standards, architecture decisions, code reviews, and engineering best practices across projects.

Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.

• You enjoy building high-quality software products that deliver measurable business value.

• You combine strong frontend , backend , and software engineering fundamentals.

• You are comfortable working in collaborative and international environments.

• You understand the importance of code quality , testing , and long-term maintainability.

• You thrive in shared codebases and enjoy contributing to common platforms and reusable components.

• You take ownership of your work and follow through on commitments.

• You value continuous learning a nd stay up to date with modern development practices and technologies.

• You communicate clearly and effectively with technical and non-technical stakeholders.

️ What You Bring

Qualifications & Experience

• Relevant academic background in Computer Science , Software Engineering , or equivalent professional experience.

• 5+ years of experience in Full-Stack Software Engineering.

• Proven experience building and maintaining production-grade web applications.

• Experience working in cloud-native and Agile development environments.

• Experience collaborating within multidisciplinary engineering teams.

• Professional proficiency in English .

Technical & Professional Skills

• Strong experience with: React 18; TypeScript; Node.js; FastAPI; Python

• Experience working with: PostgreSQL; Amazon RDS; Amazon DynamoDB; Alembic

• Knowledge of:

  • REST API design

  • Backend architecture

  • Data integration patterns

  • Scalable application design

• Experience with: NX Monorepo; GitHub Actions; Sonar; Dependabot; Modern CI/CD practices

• Strong understanding of:

  • Automated testing

  • Regression testing

  • Code review practices

  • Software quality and maintainability

• Strong analytical, problem-solving, and solution-design capabilities.

Nice to Have

• Experience supporting AI-powered applications or data-intensive platforms.

• Exposure to AWS cloud services and cloud-native architectures.

• Familiarity with microservices, event-driven architectures, and distributed systems.

• Experience working within regulated environments .

• French fluency is highly valued.

• Experience in consulting or client-facing environments.

• Exposure to international projects or multicultural teams.

⭐ What Makes You Successful

• You focus on delivering robust , scalable , and maintainable software solutions .

• You approach challenges with curiosity, pragmatism, and an engineering mindset.

• You understand the impact that a single change can have across multiple products and services.

• You are rigorous with code reviews , testing , and release discipline .

• You communicate complex technical concepts in a clear and accessible way.

• You are comfortable navigating ambiguity and finding practical solutions.

• You contribute to collective intelligence by sharing knowledge and supporting others.

• You combine autonomy with collaboration and thrive in cross-functional teams.

• You continuously look for opportunities to improve systems, processes, performance, and engineering standards.

What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context , and are discussed transparently during the process.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews . AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process is strictly prohibited .

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.