Backend Developer – Mid-level

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🕒 April 14

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TRACK&FIELD

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1988

🛒 Retail

🛍️ eCommerce

⚽ Sports

Retail • eCommerce • Sports

TRACK&FIELD is a Brazilian sportswear retailer and lifestyle brand operating physical stores, franchises, experience stores and an e-commerce platform, offering athletic apparel, accessories and related experiences. The company emphasizes product design and technology, sustainability, diversity and wellbeing, and maintains investor relations and corporate governance programs.

📋 Description

• Develop, evolve, and maintain REST APIs and microservices for the TFSports platform, ensuring scalability, performance, and security; • Work in a continuous delivery model with short cycles (tasks of 1–2 days), making frequent commits and small, focused, high-quality PRs; • Use generative AI (Claude and similar) as a technical copilot in daily work to support development, debugging, documentation, and refactoring; • Perform critical review of all code produced (by AI or humans), ensuring high standards of quality, clarity, efficiency, handling of edge cases, and security; • Actively participate in code reviews, technical discussions, and architectural decisions, contributing to the team's and product's continuous improvement; • Maintain clear and up-to-date technical documentation (READMEs, ADRs, Confluence), promoting traceability and knowledge sharing; • Contribute to the evolution of CI/CD pipelines, automated tests, and deployment processes to ensure reliable, continuous deliveries; • Take end-to-end technical responsibility, owning the quality, tests, security, and sustainability of delivered code.

🎯 Requirements

• Hands-on experience with production REST APIs, including endpoint design, versioning, documentation, and defining clear contracts; • Advanced SQL proficiency (MySQL/MariaDB): data modeling, complex queries, indexes, execution plan analysis, and performance optimization; • Practical experience with AWS: EC2, RDS, S3, Cognito, CloudWatch, and Lambda; • Solid knowledge of authentication and authorization (OAuth 2.0, JWT, Cognito User Pools); • Experience with backend testing (unit, integration, and contract tests); • API security knowledge: input validation, attack prevention (e.g., injection), rate limiting, and CORS configuration; • Advanced Git: branching strategies, rebasing, squashing, and pull request best practices; • Applied knowledge of software architecture (SOLID, Clean Architecture, Dependency Injection); • Active use of generative AI in development (Claude, ChatGPT, Copilot) — mandatory requirement; • Ability to critically evaluate AI outputs, identifying inconsistencies, hallucinations, and anti-patterns; • Knowledge of prompt engineering, including context structuring, few-shot, and guided-reasoning techniques.

🏖️ Benefits

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