Principal Software Engineer (EU-based)

What You Will Do (Essential Responsibilities):

• Replacing manual, slow onboarding processes with automated, reliable pipelines using modern CI/CD and cloud technologies.
• Design, build, and deploy production-grade APIs and services within a microservices/serverless architecture.
• 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.
• Document your work clearly for internal stakeholders and external developers consuming our public APIs.
• Work closely with ML Teams and engineering teams to integrate existing ML models and services into the onboarding process, improve release quality through automation and testing, and enable faster, more scalable deployments.
• 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.

Who You Are (Soft Skills/Attributes):

• Data-driven and innovative mindset.
• Logical and creative problem-solver, with the ability to summarize issues effectively. 
• Highly autonomous, able to independently drive a complex, ambiguous end-to-end initiative. Comfortable being the single owner of a high-impact initiative.
• Comfortable working across organizational boundaries and proactively engaging research, engineering, and platform teams.
• Clear and concise communication. You effectively set expectations and raise issues as needed. 
• Comfortable operating with incomplete requirements and imperfect data, making progress through iterative refinement.
• An engineer who lives our core values of Delivering, Learning, and Caring. 

What You Bring (Required Knowledge, Skills & Abilities):

• Bachelor’s degree in computer science or equivalent practical experience.
• Demonstrated senior-level experience building and operating production-grade backends.
• Senior-level proficiency in Python, particularly for machine learning pipelines, automation, and data processing.
• Proven experience designing CI/CD-driven, fully automated release pipelines with integrated testing and quality gates.
• Experience defining automated decision logic based on metrics or KPIs to enable fully automated onboarding or release flows.
• Practical experience integrating ML workflows into existing production systems.
• Experience working with existing machine learning models for document analysis, computer vision, or similar unstructured data problems, including evaluation, configuration, and adaptation.
• Hands-on experience with AWS-based environments, including scalability, reliability, and cost considerations.
• Proficiency with Git. 
• Proficiency with spoken and written English.  

What Would be Nice (Preferred Skills & Experience):

• Experience improving or automatingdata labeling strategies, including semi-supervised or active learning approaches.
• Exposure to MLOps practices, including experiment tracking, model versioning, ML-specific CI/CD patterns, and optimization of model training performance for concurrency, resource utilization, or cost efficiency.
• Familiarity working with C++-based core systems and/or  Go-based production services.
• Experience delivering features from user stories through to deployment in Agile environments.

What We Offer You:

• 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 any country in the EU region (with optional work from our Barcelona office if you live nearby).
• Work with a diverse global team passionate about technology and impact.
• Continuous learning and growth opportunities.
• Competitive compensation, perks and benefits.