Senior Software Engineer – C++, Python

Jobtailor

São Paulo

Presencial

BRL 150 000 - 210 000

Tempo integral

Há 3 dias
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Resumo da oferta

Jobtailor in São Paulo, Brazil seeks an experienced Incident Response Engineer to lead triage, investigate alerts, and drive remediation for complex incidents in large-scale distributed systems.

You will leverage Python, C++, and SQL to debug pipelines, analyze logs, and develop runbooks, SOPs, and permanent fixes, collaborating with engineering teams locally.

Qualificações

  • Strong proficiency in Python for scripting, automation and pipeline debugging.
  • Solid experience in C++ for analyzing and debugging large codebases.
  • Proficiency in SQL for querying, data analysis and pipeline diagnostics.
  • Experience with distributed systems and/or infrastructure.
  • Experience with incident management and production troubleshooting.
  • Advanced log analysis skills.
  • Experience debugging pipelines in large-scale systems.
  • Experience with runbook-driven processes.
  • Experience in structured defect analysis and classification.
  • Strong root cause analysis (RCA) skills.
  • Excellent technical documentation skills.
  • Good communication with technical and non-technical stakeholders.
  • Availability to collaborate with Engineering teams in São Paulo.

Responsabilidades

  • Lead triage, investigation and remediation of complex alerts
  • Investigate incidents and alerts outside SLOs using runbooks, log analysis and diagnostic tools
  • Execute pipeline replays, reruns and technical analyses to identify root causes
  • Use development tools, debugging techniques and AI/LLMs to accelerate investigations and problem resolution
  • Identify recurring defect patterns and establish structured root-cause classifications
  • Contribute to the evolution of defect taxonomies together with Engineering stakeholders
  • Provide structured technical feedback to development teams
  • Support identification of permanent fixes and reduction of incident recurrence
  • Create and maintain runbooks, SOPs and operational procedures
  • Establish standardized remediation paths for incidents
  • Manage triage, routing and escalation of incidents
  • Support quality audits and governance processes
  • Participate in status meetings, delivery reviews and other operational cadences

Conhecimentos

Python proficiency
C++ debugging
SQL data analysis
Root cause analysis
Incident management
Automation scripting
Technical documentation
Log analysis
Pipeline debugging
Defect classification
SOPs

Ferramentas

Diagnostic Tools
Runbooks
SOPs
AI/LLMs

Descrição da oferta de emprego

  • Lead triage, investigation and remediation of complex alerts
  • Investigate incidents and alerts outside SLOs using runbooks, log analysis and diagnostic tools
  • Execute pipeline replays, reruns and technical analyses to identify root causes
  • Use development tools, debugging techniques and AI/LLMs to accelerate investigations and problem resolution
  • Identify recurring defect patterns and establish structured root-cause classifications
  • Contribute to the evolution of defect taxonomies together with Engineering stakeholders
  • Provide structured technical feedback to development teams
  • Support identification of permanent fixes and reduction of incident recurrence
  • Create and maintain runbooks, SOPs and operational procedures
  • Establish standardized remediation paths for incidents
  • Manage triage, routing and escalation of incidents
  • Support quality audits and governance processes
  • Participate in status meetings, delivery reviews and other operational cadences
Requirements
  • Python: strong proficiency for scripting, automation and pipeline debugging
  • C++: solid experience analyzing and debugging large codebases
  • SQL: proficiency for querying, data analysis and pipeline diagnostics
  • Practical experience with distributed systems and/or infrastructure
  • Experience with incident management and troubleshooting in production environments
  • Advanced log analysis skills
  • Experience debugging pipelines in large-scale systems
  • Experience with runbook-driven processes
  • Experience in structured defect analysis and classification
  • Strong root cause analysis (RCA) skills
  • Excellent technical documentation skills
  • Good communication with technical teams and non-technical stakeholders
  • Availability to collaborate with Engineering teams in São Paulo
  • Preferred: experience in large-scale or hyperscale cloud environments
  • Preferred: experience with privacy, data retention or data deletion systems
  • Preferred: experience in cloud environments and distributed infrastructure
  • Preferred: experience with root-cause taxonomies and defect classification frameworks
  • Preferred: experience in managed services or delivery-oriented environments
  • Preferred: hands-on experience using AI/LLMs for development, debugging and troubleshooting
  • Preferred: experience with critical operations and high-availability environments
Core Competencies

Demonstrates strong proficiency in Python, C++, and SQL for scripting, automation, and debugging within large-scale systems. Capable of conducting root cause analysis, managing incident triage, and providing technical documentation while collaborating effectively with engineering teams.

Highest-signal resume keywords
  • Python Proficiency
  • C++ Debugging Experience
  • SQL Data Analysis
  • Root Cause Analysis Skills
  • Incident Management Experience
ATS Optimization Keywords
Hard Skills
  • Python
  • C++
  • SQL
  • Log Analysis
  • Root Cause Analysis
  • Pipeline Debugging
  • Defect Classification
  • Incident Triage
  • Automation Scripting
  • Technical Documentation
Soft Skills
  • Good Communication
  • Collaboration with Technical Teams
Industry Keywords
  • Distributed Systems
  • Cloud Environments
  • High-Availability Environments
  • Managed Services
  • Data Retention Systems
Tools & Technologies
  • Diagnostic Tools
  • Runbooks
  • SOPs
  • AI/LLMs
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