Aws Python Engineer (Production Support)

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

Resumo da oferta

Uma empresa de tecnologia está procurando um Engenheiro Python AWS para suporte à produção. O profissional será responsável por resolver problemas de entrega em ambientes, manter configurações YAML/JSON e colaborar com equipes multifuncionais. É necessário ter experiência com Python, AWS e práticas de suporte à produção. Esta posição é remota, oferecendo flexibilidade e a chance de trabalhar em um ambiente dinâmico e desafiador.

Qualificações

• Proficiência em AWS e Python para suporte à produção.
• Experiência em configuração YAML/JSON e melhores práticas de autoramento.
• Capacidade de usar Git e gerenciar fluxos de trabalho de PR.

Responsabilidades

• Resolver problemas de entrega em ambientes de produção.
• Manter e evoluir configurações YAML/JSON.
• Colaborar com equipes multifuncionais para operações de entrega.

Conhecimentos

AWS

Python

YAML/JSON

Git

SQL

Produção suporte

Observabilidade e análise de logs

Descrição da oferta de emprego

AWS Python Engineer (Production Support) GeorgiaTEK Systems Inc.•boituva, estado de são paulo, 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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