Backend Python Engineer

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

• 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

• 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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