Aws Python Engineer (Production Support)

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

Resumo da oferta

A tech firm specializing in automation is seeking a mid-senior AWS Python Engineer to support operational workflows remotely from Brazil. Responsibilities include troubleshooting delivery issues, maintaining YAML/JSON configurations, and updating Python scripts. Candidates must have strong knowledge in AWS, Python, and database querying. This role offers the chance to collaborate with various teams and improve operational efficiency through automation.

Qualificações

• Experience in AWS and Python is essential.
• Mid-Senior level experience required.
• Familiarity with schema-driven configuration management.

Responsabilidades

• Troubleshoot and resolve delivery issues across environments.
• Maintain and evolve schema-driven YAML / JSON configurations.
• Support operational workflows by updating internal Python automation scripts.
• Perform database-level investigations to validate data integrity.
• Collaborate with cross-functional teams for smooth delivery operations.

Conhecimentos

YAML / JSON (production-grade)

Git + PR workflow

Observability & log analysis

Python

Databases (SQL)

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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