Lead Full Stack Engineer

$500 Reward

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Overview

Our client, a leading provider of nearshoring and technology development solutions, is seeking a Lead Full Stack Engineer to spearhead the development of a new, innovative Payroll & HR SaaS platform with heavy AI analytics. This position will play a crucial role in building and guiding a dynamic development team and driving the future of the technology stack for their stealth-stage startup.

Challenges you would face

Assume full responsibility for the technical aspects of the project from inception to execution
Develop and enhance innovative features, maintaining the cutting edge of the project
Integrate AI-driven coding and automation tools to improve development efficiency
Collaborate closely with Product and UI teams to standardize UI components, enhancing user experience
Conduct regular code reviews to uphold high standards of code quality
Provide technical and functional guidance to the engineering team, aligning product design with company objectives
Engage in the creation and refinement of technical documentation
Make critical technological decisions that align with company goals and practices
Manage workflows using project management tools for optimal organization
Liaise with cross-functional teams to ensure engineering efforts are aligned with business goals

The ideal candidate

6+ years of experience in software development with proficiency in PHP 7+
At least 3 years of experience in leading engineering teams and projects
Strong knowledge of OOP, Code Design Patterns, SOLID, DRY, and KISS principles
Experience with Laravel framework and databases like PostgreSQL/MySQL, Redis
Familiarity with Microservices, DDD, Event Sourcing, CQRS architectures
Proficient in Docker, docker-compose, and PHPUnit testing
Exceptional analytical skills and attention to detail
Excellent communication skills in Spanish and English

Plus

Experience with AWS cloud services
Familiarity with project management tools like Slack, Airtable, Notion, and ClickUp
Experience in writing job requirements and interviewing engineering candidates
Academic background in Computer Science, Engineering, Machine Learning, or related fields

What the company offers

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