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Python Back End Developer

GeorgiaTEK Systems Inc.

Teletrabalho

BRL 322.000 - 431.000

Tempo integral

Ontem
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Resumo da oferta

A technology solutions provider is hiring a Python Backend Engineer for a fully remote position in Nova Iguaçu, Brazil. The ideal candidate will have mid-senior level experience and be proficient in Python and YAML/JSON management. Responsibilities include troubleshooting delivery issues, maintaining configurations, and collaborating with teams. Strong problem-solving skills in production support and a solid understanding of schema-driven configurations are essential for success in this role.

Qualificações

  • Experience with YAML / JSON for configuration management.
  • Proficiency in Python for debugging and automation scripts.
  • Strong problem-solving skills in production support.

Responsabilidades

  • Troubleshoot delivery issues and maintain configurations.
  • Collaborate with teams for smooth operational workflows.
  • Perform investigations to ensure data integrity.

Conhecimentos

YAML / JSON
Git + PR workflow
Observability & log analysis
Python
Databases (SQL)
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.
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