Senior Software Engineer: End-to-End Impact & Mentorship

Koltin

México

Remote

MXN 900,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Access to professional development and
Unlimited virtual medical assistance
TotalPass wellness tools
9 extra vacation days
Private major medical insurance
All the equipment you need
AI-powered development tools
Home office stipend 700 MXN
Home workspace setup grant 2500 MXN

Job summary

Koltin is seeking a Senior Software Engineer in Mexico to drive end-to-end projects across the stack. You’ll partner with product, design, data, and operations to deliver secure, reliable, and maintainable systems. You’ll mentor peers, improve observability, and own data integrity across critical workflows.

The role emphasizes ownership, collaboration, and engineering excellence, with AI-powered tooling to boost productivity while preserving decision ownership and outcomes.

Qualifications

  • Owns end-to-end delivery of complex features or critical workflows.
  • Drives debugging of production issues with data-driven methods.
  • Mentors junior engineers and promotes pair programming.
  • Ensures observability and data integrity from project inception.
  • Collaborates with product, design, and data teams across the stack.

Responsibilities

  • Owns data quality, observability, and security for the project’s data paths.
  • Designs and maintains schemas and data transformations with future-proofing.
  • Leads cross-functional technical discussions with product and design.
  • Mentors others and helps grow ownership across the team.
  • Shapes engineering culture around reliability and maintainability.

Skills

End-to-end delivery
Mentoring
Observability
Data integrity
Ownership

Tools

AI-powered tools

Job description

Koltin is seeking a Senior Software Engineer in Mexico to drive end-to-end projects across the stack. You’ll partner with product, design, data, and operations to deliver secure, reliable, and maintainable systems. You’ll mentor peers, improve observability, and own data integrity across critical workflows.

The role emphasizes ownership, collaboration, and engineering excellence, with AI-powered tooling to boost productivity while preserving decision ownership and outcomes.

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