Aws Python Engineer (Production Support)

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

Resumo da oferta

A technology solutions provider is seeking an AWS Python Engineer to support production operations remotely from Brazil. Responsibilities include troubleshooting delivery issues, maintaining schema-driven configurations, and updating internal Python scripts. The ideal candidate will have experience with YAML/JSON, Python debugging, and SQL databases. Strong observability and log analysis skills are essential for this mid-senior role. Apply today to contribute to a cutting-edge operational environment.

Qualificações

• Experience with YAML / JSON authoring and refactoring.
• Strong Python debugging and automation skills.
• Ability to perform database-level investigations.

Responsabilidades

• Troubleshoot delivery issues across environments.
• Maintain YAML / JSON configurations.
• Support workflows with Python automation scripts.

Conhecimentos

YAML / JSON (production-grade)

Python

Git + PR workflow

Observability & log analysis

Databases (SQL)

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.

Apply today or share profiles at [e-mail]

Production Engineer • Recife, Pernambuco, Brazil