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Backend Python Engineer

TransPerfect -
Lisboa

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Detalhes da oferta

Período Integral

Qualificações

Graduação

Descrição completa da oferta

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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