Aws Python Engineer (Production Support)

Georgiatek Systems Inc.; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company is seeking an AWS Python Engineer for production support. The role involves troubleshooting and resolving delivery issues, managing schema-driven YAML and JSON configurations, and updating internal Python automation scripts. Ideal candidates should have strong knowledge of YAML/JSON, Git workflows, and Python debugging. This position is remote, catering to experienced professionals specializing in automation workflows and production support fundamentals.

Qualificações

• Experience with YAML / JSON authoring and refactoring.
• Proficiency in Git with PR workflows.
• Ability to apply observability and log analysis techniques.

Responsabilidades

• Troubleshoot and resolve delivery issues.
• Maintain YAML / JSON configurations for platforms.
• Support workflows by updating Python scripts.

Conhecimentos

YAML / JSON

Git + PR workflow

Observability & log analysis

Python

SQL databases

Production support fundamentals

Jinja templating

Descrição da oferta de emprego

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

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

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