Aws Python Engineer (Production Support)

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

Resumo da oferta

Uma empresa de tecnologia está buscando um engenheiro AWS Python para suporte à produção, com experiência intermediária a sênior. O candidato deve ter conhecimentos em YAML/JSON, Git, Python e SQL. As responsabilidades incluem resolver problemas de entrega, manter configurações e colaborar com equipes multifuncionais. O trabalho é remoto e baseado no Brasil, e a empresa oferece um ambiente dinâmico e inovador com foco em automação e suporte à produção.

Qualificações

• Experiência em debugging e ajustes de scripts em Python, implementando correções seguras.
• Conhecimento em authoring/refactoring de YAML/JSON e estrutura de mudança.
• Capacidade de investigar questões de produção, validando a integridade dos dados.

Responsabilidades

• Resolver problemas de entrega e manter configurações YAML/JSON.
• Apoiar fluxos de trabalho operacionais com scripts de automação em Python.
• Colaborar com equipes multifuncionais para operações de entrega.

Conhecimentos

YAML/JSON

Git + PR workflow

Observability & log analysis

Python

Databases (SQL)

Production support fundamentals

Jinja templating

Descrição da oferta de emprego

AWS Python Engineer (Production Support) GeorgiaTEK Systems Inc.•teresina, estado do piauí, 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.

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