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Kueski

Principal Software Engineer

Kueski

. Own technical strategy across Kueski Pay, Kueski Cash, and the shared platforms behind them .

Posted 11/6/2026full-timeGuadalajara • MexicoLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in defining and delivering multi-year architecture for high-scale, distributed systems, with a strong focus on AI-native transformation and compliance within the fintech domain. Proven ability to lead technical strategy, coach senior engineers, and communicate effectively with C-level executives.

Highest-signal resume keywords
Technical Strategy OwnershipDistributed Systems ExpertiseAI/ML Systems DesignFintech Compliance KnowledgeLeadership in Engineering Talent Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentMulti-Year Architecture DeliveryDistributed SystemsFinancial Domain ModelingCI/CDCloud InfrastructureMLOps/LLMOpsAI-Native SDLCObservabilityTechnical Direction
Soft Skills
CommunicationCoachingStrategic ThinkingCollaborationLeadership
Industry Keywords
FintechPaymentsLendingRegulated IndustrySecurityFraud PreventionComplianceRisk ManagementCreditCollections

Tech Stack

Tools & technologies
CloudDistributed SystemsSDLC

About the role

Key responsibilities & impact
  • Own technical strategy across Kueski Pay, Kueski Cash, and the shared platforms behind them
  • Report to the CTO
  • Translate company priorities into a coherent multi-year architecture
  • Make technical trade-offs explicit and define build, buy, or partner decisions
  • Define multi-year technical strategy across domains with the CTPO and engineering and product leadership
  • Set architectural principles and standards for scalability, reliability, and maintainability
  • Build compliance, fraud prevention, security, and regulatory requirements into systems from the start
  • Reduce systemic technical debt and recurring failures while improving throughput
  • Use delivery and quality metrics, including throughput, cycle time, CFR, and MTTR, to guide roadmaps
  • Own the AI-native transformation roadmap
  • Decide what to wrap, refactor, expose, or retire so AI agents can work safely on existing systems
  • Define the AI-native SDLC and context engineering standards
  • Lead high-stakes AI capabilities into production with measured business impact under Risk, Compliance, and Security governance
  • Set technical direction for the AI Enabling Team
  • Coach and sponsor Staff and Senior engineers
  • Shape hiring and promotion practices for senior engineering talent
  • Communicate technical direction to executives and represent Kueski’s engineering externally

Requirements

What you’ll need
  • 15+ years building software
  • 4+ years at Staff, Principal, or equivalent technical-leadership scope across multiple teams
  • Track record defining and delivering multi-year architecture for high-scale, distributed, transactional systems
  • Deep expertise in distributed systems, financial domain modeling (money movement, ledgering, identity), observability, CI/CD, and cloud infrastructure
  • Evidence of measurable impact on reliability (CFR, MTTR, incident reduction), cost of ownership, or delivery speed
  • Several years designing and shipping ML/AI systems in production at scale, including agentic or LLM-based systems
  • Familiarity with MLOps/LLMOps tooling and production observability for AI
  • A point of view, backed by results, on transforming a legacy engineering organization into an AI-native one
  • Preferred experience in fintech, payments, lending, or another regulated industry, with hands-on work on security, fraud, and compliance
  • Ideally shipping AI in credit, risk, collections, fraud, or underwriting
  • Experience partnering directly with C-level leaders and translating strategy into technical roadmaps
  • Proven record of growing senior engineers into Staff-level leaders
  • Excellent written and spoken communication in English and Spanish

Benefits

Comp & perks
  • Diversity, equity, and inclusion commitment
  • Reasonable accommodations during the hiring process
  • Opportunity to work on innovative financial services at a fintech company
  • Opportunity to lead AI-native transformation and high-impact engineering initiatives