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 em produção. Essa posição remota no Brasil requer habilidades em YAML/JSON, Python e experiência em suporte à produção. As responsabilidades incluem resolução de problemas de entrega e colaboração com equipes multifuncionais. O candidato ideal terá um entendimento forte de gerenciamento de configurações e automação. Oferece-se um ambiente dinâmico e a oportunidade de trabalhar em projetos desafiadores.

Qualificações

• Experiência em suporte em produção para plataformas de entrega em larga escala.
• Capacidade de autorar e refatorar YAML/JSON com estrutura rígida.
• Experiência com análise de logs e rastreamento de falhas.

Responsabilidades

• Resolver problemas de entrega em ambientes, incluindo falhas de pipeline.
• Manter e evoluir configurações YAML/JSON para plataformas de exibição.
• Colaborar com equipes multifuncionais para garantir operações de entrega suaves.

Conhecimentos

YAML/JSON

Python

Git + PR workflow

Databases (SQL)

Observabilidade & análise de logs

Mentalidade de validação de esquema

Descrição da oferta de emprego

AWS Python Engineer (Production Support)

GeorgiaTEK Systems Inc.•novo hamburgo, estado do rio grande do sul, 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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