Aws Python Engineer

Há 7 dias

Hortolândia, Brasil Georgiatek Systems Inc. Tempo inteiro

AWS Python Engineer (Production Support) GeorgiaTEK Systems Inc. • Hortolândia, Estado de São Paulo, BR Descrição da vaga 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 #J-18808-Ljbffr

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