AWS Python Engineer (Production Support)

**Role: AWS Python Engineer (Production Support)** **Location: Brazil (Remote)** **Mode: Contract** **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. 📩 Apply today or share profiles at moheswaran@georgiatek.com