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Backend Python Engineer (AI Platform)

Unbabel

U
Job Type   /   Job Level
Full-time   /   Junior Executive
Job Location
Lisbon, Portugal
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Unbabel is seeking a motivated Backend Python Engineer to join our team, as we expand our ability to deliver seamless, scalable cross-platform translation capabilities to our enterprise partners. You’ll drive forward the development, maintenance, and expansion of core backend services that power smooth, intelligent language solutions.


Responsibilities:

  • Plan and implement reliable architectures and core services
  • Build, maintain, and optimize codebases in a testable and efficient manner
  • Develop, optimize, and support critical services, infrastructure, and applications in production environments
  • Help evolve our architecture for scale, resilience, and performance
  • Break down complex problems and prioritize technical initiatives with product and engineering teams
  • Champion a culture of continuous improvement, automation, code quality, and architectural best practices
  • Partner with cross-functional stakeholders to deliver solutions aligned with rapidly changing business and technical needs
  • Respond collaboratively to platform and service challenges, employing rapid troubleshooting and prototyping when necessary


Must Haves:

  • 2+ years of backend engineering experience
  • Experience building APIs or system integrations (REST and/or gRPC)
  • Familiarity with relational and non-relational databases (e.g. Postgres, MongoDB)
  • Proven ability to write clean, well-tested code; competence in test automation; familiarity with secure and maintainable architecture
  • Experience working in Agile development environments
  • Strong English communication skills
  • Collaborative mindset with attention to detail, proactive attitude, and eagerness to learn


Nice to Haves:

  • Experience with Python frameworks (FastAPI, Flask)
  • Contributions to ML/NLP projects or personal projects demonstrating AI engineering capabilities
  • Familiarity with microservices architecture and Kubernetes
  • Past work building, operating, and monitoring production services
  • DevOps exposure, especially in AWS, CI/CD, and infrastructure-as-code (Terraform)
  • Hands-on experience instrumenting metrics and alerts (Prometheus, Grafana, PagerDuty)


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