Software Engineer - Components Team (Spain, full-remote)

We are excited to welcome a new Software Engineer to our team in Spain!. You will join the team responsible for building and evolving our biometric identification solution.

In this role, you will contribute to systems that leverage software security technologies and machine learning inference to verify user identity with high accuracy and reliability.

You will work on designing, implementing, and optimizing ML inference pipelines that power real‑time identity validation, helping customers authenticate securely while minimizing friction. Their work will directly support our mission to prevent fraudulent activity, protect user accounts, and ensure that legitimate transactions can be completed quickly and safely.

In this role, you will have the opportunity to shape core components of a high‑impact security product, collaborate with cross‑functional teams, and deliver solutions that enable both trust and seamless user experiences at scale.

• Work with a global leader in Digital Identity and Fraud prevention.
• Build products that power secure, seamless digital experiences.
• High-impact role in a fast-growing market.
• Excellent working atmosphere and great culture.
• 100% remote-friendly in Spain (with optional work from our office near Barcelona - Sant Cugat).
• Work with a diverse global team passionate about technology and impact.
• Continuous learning and growth opportunities.

Benefit offerings – may vary based on geographic location

Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics

Financial future: retirement/pension plan contributions, MTK stock plan participation

Income protection: life event & disability coverage

Paid time off: generous annual leave, company holidays, volunteer time off

Learning: e-learning license, tuition reimbursement, hackathons

Home office setup allowance

Additional/optional benefits: pet insurance, identity theft protection, legal assistance

• A Bachelor of Computer Science, related field, or equivalent practical experience.
• 3+ years of professional software development experience using modern C++
• Experience in Linux and docker containers
• Experience using Python to embed C++ code and implement automation.
• Proficiency with Git.
• A background in CI/CD pipelines.
• Good grasp on TDD and automated testing coverage.
• Basic knowledge of AI inferencing.
• Proficiency with spoken and written English.

• Analytical and inventive. You experiment, learn fast, and refine your approach.
• Data-driven and innovative mindset. You eagerly try new things and learn from your experiences.
• Organized and adaptive. You can balance multiple priorities in a dynamic environment.
• Clear and concise communication. You effectively set expectations, give feedback, and collaborate effectively.
• Strong team player with a positive, can-do attitude and the ability to adapt to changes.
• Comfortable working with ambiguous requirements and shaping clarity as you go.
• A willingness to learn and adapt to new technologies.

• Image processing experience
• Experience in cross-compilation of C++ code using Android, NDK, iOS and Emscripten toolchains for Web.
• Basic Java knowledge.
• Production experience in Golang.
• Familiarity with gRPC, Protocol Buffers
• Awareness of machine learning architectures or data pipelines.
• Solid understanding of Agile methodologies and continuous delivery principles.
• Experience delivering features from user stories through to deployment in Agile environments.

• Design, build, and deploy production-grade software for ML and AI inference tasks.
• Own your code from design to deployment, ensuring scalability, security, and performance at every step.
• Automate testing and delivery through robust unit, integration, and performance tests.
• Collaborate cross-functionally with product managers, researchers, and operations teams to translate ideas into production-ready features.
• Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and help drive continuous improvement.
• Develop clean, maintainable, and production hardened code.