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1 semana atrás

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Role: AWS Python Engineer (Production Support)Location: Brazil (Remote)Mode: ContractExperience: Mid-SeniorKey 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.Apply today or share profiles at

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