Backend Python Engineer

Description

Summary: Unbabel is looking for a Backend Python Engineer to develop, maintain, and expand core backend services for scalable cross-platform translation capabilities. Highlights: 1. Develop reliable architectures and core services 2. Collaborate on architectural evolution for scale and performance 3. Champion continuous improvement and architectural best practices 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)