Python Back End Developer

GeorgiaTEK Systems Inc.; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Uma empresa de tecnologia está buscando um Engenheiro Backend Python. Esta posição permite trabalho remoto e envolve responsabilidades como a resolução de problemas de entrega, manutenção de configurações YAML/JSON e suporte a fluxos de trabalho operacionais. O candidato ideal deve ter experiência em Python, SQL, e um bom entendimento de práticas de automação e análise de logs. Esta vaga é voltada para profissionais com experiência intermediária a sênior e oferece um ambiente colaborativo.

Qualificações

• Experiência com YAML/JSON em produção, incluindo authoring e refatoração segura.
• Familiaridade com Git e fluxo de trabalho de PR.
• Capacidade de aplicar técnicas de observabilidade e análise de logs.
• Experiência em Python para depuração e ajuste de scripts existentes.
• Habilidade em consultas SQL para investigar problemas de produção.

Responsabilidades

• Resolver problemas de entrega em ambientes de produção.
• Manter e evoluir configurações de YAML/JSON.
• Atualizar scripts de automação em Python.
• Realizar investigações a nível de banco de dados.
• Colaborar com equipes multifuncionais.
• Aplicar técnicas de análise de logs.

Conhecimentos

YAML/JSON

Git

Observability

Python

SQL

Production support fundamentals

Jinja templating

Descrição da oferta de emprego

Python Backend Engineer

Language: Portuguese & English

Position: Full Remote

Experience: Mid-Senior

Key Responsibilities

• Troubleshoot and resolve delivery issues across environments, including pipeline failures and data inconsistencies.
• Maintain and evolve schema-driven YAML/JSON configurations for distribution and exhibition platforms.
• Support operational workflows by updating internal Python automation scripts.
• Perform database-level investigations to validate data integrity and confirm fixes.
• Work through PR-based change management with clear documentation and regression verification.
• Collaborate with cross-functional teams to ensure smooth delivery operations.
• Apply observability and log analysis techniques to trace failures and extract actionable insights.
• Ensure compliance with schema validation and maintain configuration hygiene.

Mandatory Knowledge

• YAML/JSON (production-grade): Safe authoring/refactoring, strict structure, and change hygiene.
• Git + PR workflow: Clean diffs, review discipline, conflict handling, and controlled promotions.
• Observability & log analysis: Tracing failures across pipeline stages, correlating identifiers, and extracting actionable signals from logs/metrics.
• Schema/validation mindset: Interpreting schema/tooling errors and keeping configs compliant.
• Python: Debugging and adjusting existing scripts/automation; implementing targeted fixes safely.
• Databases (SQL): Querying to investigate production issues, validate data integrity, and confirm outcomes.
• Production support fundamentals: Incident triage, root-cause analysis, mitigations, and regression verification.
• Jinja templating: Understanding template-driven generation and making safe, minimal changes.

Optional Knowledge

• Media Supply Chain fundamentals: Deliverables, packaging concepts, metadata hierarchies, locale conventions, and downstream dependency impacts.
• Advanced mapping/config patterns (conditional/switch/lookup/padding; robust globals/locals usage).
• CI/automation improvements (linting/formatting, pre-validation checks, regression harnesses).
• Partner operations context (common rejection patterns, partner-specific exceptions, operational playbooks).
• Communication in incident/PR contexts (concise updates, change summaries, and requirement translation).

Preferred Experience

• Hands-on experience in production support for large-scale delivery platforms.
• Strong understanding of schema-driven configuration management and automation workflows.