Job Description

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

Requirements

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)