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Lvivity

Go Engineer

Lvivity

Go Engineer building scalable backend services and integrating AI-powered decisioning systems at Mondu. Work within a high-performing engineering team on fintech solutions.

Posted 7/28/2026contractLviv • 🇺🇦 UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building scalable backend services using Go, with a strong focus on designing data-intensive systems and integrating AI-powered decisioning. Proven ability to collaborate effectively across product, data, and engineering teams while ensuring software systems are secure and maintainable.

Highest-signal resume keywords
Go ProgrammingDistributed SystemsMicroservices ArchitectureData-Intensive Systems DesignAI Decisioning Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Go ProgrammingBackend Service DevelopmentDebugging SkillsProblem-Solving SkillsSoftware Architecture Patterns
Soft Skills
Strong Communication SkillsCollaboration Skills
Tools & Technologies
AI-Powered DecisioningData Intelligence PipelinesAutomation Systems
Industry Keywords
Credit RiskFraud DetectionOperational WorkflowsEvent-Driven Architecture

Tech Stack

Tools & technologies
Distributed SystemsGoMicroservices

About the role

Key responsibilities & impact
  • Join a high-performing engineering team working on core purchasing systems powering credit risk, fraud detection, and operational workflows
  • Build systems integrating AI-powered decisioning, data intelligence pipelines, and automation systems
  • Develop scalable backend services in Go
  • Design and build data-intensive systems
  • Collaborate with product and engineering teams for effective implementation

Requirements

What you’ll need
  • Strong proficiency in Go for building scalable backend services
  • Deep understanding of distributed systems, microservices, and event-driven architecture
  • Experience designing and building systems that are data-intensive
  • Strong communication skills and ability to work across product, data, and engineering teams
  • Ability to design scalable, secure, and maintainable software systems
  • Strong debugging and problem-solving skills in production environments
  • Understanding of software architecture patterns and tradeoffs
  • Practical experience integrating LLMs into production systems
  • Understanding of how to build guardrails around AI decisioning: fallbacks, confidence thresholds, human-in-the-loop escalation, and auditability of automated decisions

Benefits

Comp & perks
  • Full medical insurance
  • MacBook & accessories
  • English lessons
  • Accountant assistance
  • Minimal bureaucracy, synergy, and formalities, primarily focusing on effective communication