Python Back End Developer

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

Resumo da oferta

A leading technology firm is seeking a Python Backend Engineer to troubleshoot delivery issues, maintain YAML/JSON configurations, and support automation workflows. This remote position requires mid-senior level expertise in Python and SQL, along with strong skills in observability and log analysis. Candidates should be comfortable working across different teams and possess a schema-centric mindset. The firm offers a dynamic work environment focused on operational excellence and technical innovation.

Qualificações

• Mid-Senior level experience with Python and SQL.
• Experience with YAML/JSON configuration management.
• Strong troubleshooting and debugging skills.

Responsabilidades

• Troubleshoot delivery issues across environments.
• Maintain YAML/JSON configurations.
• Support operational workflows via internal Python scripts.
• Validate data integrity through database investigations.
• Collaborate with teams for smooth delivery operations.

Conhecimentos

YAML/JSON

Git + PR workflow

Observability & log analysis

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.