Aws Python Back End Developer

Python Backend Engineer Language: Portuguese & English Position: Full Remote Experience: Mid-Senior Key Responsibilities

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Troubleshoot and resolve delivery issues across environments, including pipeline failures and data inconsistencies.

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Maintain and evolve schema-driven YAML/JSON configurations for distribution and exhibition platforms.

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Support operational workflows by updating internal Python automation scripts.

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Perform database-level investigations to validate data integrity and confirm fixes.

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Work through PR-based change management with clear documentation and regression verification.

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Collaborate with cross-functional teams to ensure smooth delivery operations.

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Apply observability and log analysis techniques to trace failures and extract actionable insights.

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Ensure compliance with schema validation and maintain configuration hygiene.

Mandatory Knowledge

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YAML/JSON (production-grade): Safe authoring/refactoring, strict structure, and change hygiene.

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Git + PR workflow: Clean diffs, review discipline, conflict handling, and controlled promotions.

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Observability & log analysis: Tracing failures across pipeline stages, correlating identifiers, and extracting actionable signals from logs/metrics.

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Schema/validation mindset: Interpreting schema/tooling errors and keeping configs compliant.

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Python: Debugging and adjusting existing scripts/automation; implementing targeted fixes safely.

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Databases (SQL): Querying to investigate production issues, validate data integrity, and confirm outcomes.

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Production support fundamentals: Incident triage, root-cause analysis, mitigations, and regression verification.

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Jinja templating: Understanding template-driven generation and making safe, minimal changes.

Optional Knowledge

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Media Supply Chain fundamentals: Deliverables, packaging concepts, metadata hierarchies, locale conventions, and downstream dependency impacts.

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Advanced mapping/config patterns (conditional/switch/lookup/padding; robust globals/locals usage).

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CI/automation improvements (linting/formatting, pre-validation checks, regression harnesses).

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Partner operations context (common rejection patterns, partner-specific exceptions, operational playbooks).

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Communication in incident/PR contexts (concise updates, change summaries, and requirement translation).

Preferred Experience

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Hands-on experience in production support for large-scale delivery platforms.

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Strong understanding of schema-driven configuration management and automation workflows.