Aws Python Engineer (Production Support)

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

Resumo da oferta

Uma empresa de tecnologia está em busca de um AWS Python Engineer para suporte à produção. O cargo envolve resolução de problemas de entrega, manutenção de configurações YAML e Python, além de investigações de dados. Buscamos um profissional experiente em suporte de produção, que tenha habilidades com YAML, Python e análise de logs. Oferecemos uma posição remota, visando colaboração dentro de uma equipe multifuncional. Aplicações ou perfis devem ser enviados para [e-mail].

Qualificações

• Experiência com autoramento seguro de YAML / JSON e manutenção de estrutura.
• Conhecimento em Git e fluxo de trabalho baseado em PR.
• Habilidade em análise de logs e observabilidade.
• Experiência em Python e banco de dados SQL.

Responsabilidades

• Resolver problemas de entrega em diferentes ambientes.
• Manter e evoluir configurações YAML / JSON.
• Apoiar fluxos de trabalho operacionais com scripts Python.
• Realizar investigações em banco de dados para validar integridade de dados.

Conhecimentos

YAML / JSON

Git

Observabilidade e análise de logs

Python

SQL

Suporte à produção

Jinja templating

Descrição da oferta de emprego

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 [e-mail]