Aws Python Engineer (Production Support)

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

Resumo da oferta

Uma empresa de tecnologia está buscando um Engenheiro AWS Python para suporte a produção. O candidato deve ter experiência em resolver problemas de entrega e manutenção de configurações YAML/JSON, além de ter conhecimento em Python e bancos de dados SQL. O trabalho é remoto e envolve interação com equipes multifuncionais e documentação clara. Se você tem um histórico sólido em suporte técnico e ama desafios, esta pode ser a sua oportunidade!

Qualificações

• Experiência com YAML/JSON para configuração e refatoração.
• Conhecimento em Git e fluxo de trabalho PR.
• Capacidade de depuração e ajuste de scripts Python.

Responsabilidades

• Resolver problemas de entrega em ambientes diversos.
• Manter e evoluir configurações YAML/JSON.
• Atualizar scripts de automação internos em Python.

Conhecimentos

YAML/JSON

Git + PR workflow

Observabilidade & análise de logs

Python

SQL

Suporte a produção

Jinja templating

Descrição da oferta de emprego

AWS Python Engineer (Production Support) GeorgiaTEK Systems Inc.•nova santa rita, 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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