Tech Lead – Java & Python Development

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🕒 June 1

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Lead the team technically, defining architectural patterns, design, and engineering best practices in Java and Python. • Drive solution and data architecture decisions on AWS, focusing on scalability, security, cost, and observability. • Serve as a technical reference in code reviews, design reviews, and day-to-day trade-off decisions. • Incorporate AI tools (code assistants, automations, agents) into the team's workflow to increase productivity and quality. • Work side-by-side with Product and other squads in agile ceremonies, helping to break down scope, estimate, and prioritize. • Mentor and develop team members, contributing to their technical growth and career development. • Perform exploratory analyses of environments and technologies, documenting findings and training the technical team. • Work closely with the team and stakeholders to define and refine product requirements. • Collaborate closely with the DevOps team on deployment, monitoring, and application support activities. • Promote continuous improvements in code and processes across the organization. • Ensure production reliability and quality (monitoring, incident response, and technical debt reduction).

🎯 Requirements

• Strong experience developing and leading technically with Java and Python. • Solid knowledge of software architecture (microservices, APIs, event-driven systems, system integration). • Hands-on experience with AWS (compute, storage, messaging, networking, and security best practices). • Experience with SonarQube or similar tools. • Practical experience with agile methodologies (Scrum/Kanban), not just theoretical knowledge. • Familiarity with AI tools applied to development and a willingness to incorporate them into the team's daily work. • Ability to communicate clearly with both technical and business stakeholders and to influence decisions without formal authority. • Ability to conduct heated technical discussions impartially and constructively. • Experience in the employee benefits sector or with financial products / fintech / payments.