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EarnIn

EarnIn - Staff Software Engineer (Backend)

Mexico City, Mexico; Remote, Mexico - Hybrid1mo ago
In OfficeStaffLATAMData AnalyticsSoftwareSoftware EngineerStaff EngineerC#JavaGoJavaScriptPython

Requirements

• 7+ years of development experience in a fast-paced environment. • Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience. • Proficient in at least one modern programming language such as C#, Java, JavaScript, Python, Go, and Scala. • Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies. • Experience with continuous integration and delivery tools. • Experienced in developing and executing functional and integration tests. • Excellent written and verbal communication skills. • Ability to thrive in a fast-paced, dynamic environment, and you have a bias towards action and results. • Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow • Experience with Kubernetes and microservice architecture is a strong plus.

Responsibilities

• Design & implement features robust enough for our exploding scale. • Drive the implementation of new features - break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code. • Create and maintain test automation to enable continuous integration and development velocity. • Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services. • Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews. • Work cross-functionally with other teams (data science, design, product, marketing, analytics). • Leverage a broad skill set and help us implement and learn new technologies quickly. • Provide and receive design and implementation evaluations and improve with each iteration. • Debug production issues across our services infrastructure and multiple levels of our stack. • Think about distributed systems & services and care passionately about producing high-quality code.

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