Python Back End Developer

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

Resumo da oferta

A leading technology company is looking for a Python Backend Engineer to join their team fully remotely. In this role, you will troubleshoot delivery issues, maintain configuration files, and support operations through Python automation. You are expected to have mid-senior experience in Python, YAML/JSON, and database management. A strong collaborative spirit is required for working with cross-functional teams to ensure smooth delivery operations.

Qualificações

• Mid-Senior level experience in Python and backend development.
• Strong understanding and practical knowledge of YAML/JSON.
• Ability to troubleshoot database-level issues and validate integrity.

Responsabilidades

• Troubleshoot delivery issues including failures and inconsistencies.
• Maintain YAML/JSON configurations for platforms.
• Support operational workflows with Python automation scripts.

Conhecimentos

YAML/JSON

Git + PR workflow

Observability & log analysis

Schema/validation mindset

Python

Databases (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.