Senior Backend Developer, Java

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Collaborate within a multidisciplinary team as a Software Engineer focused on backend applications, engaging in discussions, proposals, and planning activities.

• Act as a technical reference point, addressing critical obstacles and offering expert guidance.

• Involve yourself in the complete software development lifecycle, from design through to deployment and operational phases.

• Implement SOLID principles and Design Patterns in coding, testing, and maintenance processes.

• Create scalable solutions capable of serving millions of users.

• Communicate effectively while thoroughly analyzing requests from Business and Product teams, among others.

• Ensure the quality of the deliverables.

• Share knowledge and foster the team's growth.

• Conduct code reviews and apply test cases appropriately.

• Maintain up-to-date service documentation.

• Constantly pursue technical and performance enhancements.

• Show a commitment to continuous learning and professional development.

⛳️ Requirements

• Strong communication skills.

• Ability to work collaboratively in a team setting, demonstrating planning, organization, and negotiation abilities.

• Proficient in Java 17+ utilizing the Spring Framework (Spring Boot, Spring Data, Spring Batch) and microservices architecture with REST APIs and GraphQL.

• Experience with unit testing frameworks (JUnit, Mockito, etc.).

• Familiarity with relational and non-relational databases.

• Experience with containerized microservices (Docker) and orchestration (Kubernetes).

• Knowledge of essential software architecture models and patterns, including Design Patterns and SOLID principles.

• Practical experience with cloud application solutions, particularly AWS (EKS, EC2, S3, EMR, SQS, etc.).

• Experience with CI/CD pipelines, especially using Jenkins.

• Preferred: Experience with Spark (Python or Scala).

• Understanding of big data solutions, including Data Lake, Data Warehouse, ETL, BI, Data Mesh, MLOps, and others.

• Experience with application instrumentation and observability tools (Dynatrace, Datadog, Grafana, etc.).

• Knowledge of messaging and event tools such as RabbitMQ and Kafka.

🏝️ Benefits

• Diversity, Equity & Inclusion (DEI).

• Work/life balance.

• Career development opportunities.

• Authenticity in the workplace.

• Collaborative environment.

• Wellness programs.

• Reward and recognition initiatives.

• Volunteering opportunities.