Pessoa Desenvolvedora Back-end PL l Pesquisa e Desenvolvimento

Accountabilities: Research and evaluate emerging technologies by conducting experiments, technical tests, feasibility studies, and proofs of concept.

Develop and validate backend and technology solutions while balancing speed, robustness, scalability, security, and maintainability.

Collect, structure, and analyze complex technical data, interpreting results and using evidence to recommend solutions to project challenges.

Investigate and evaluate different database technologies and architectures, considering performance, scalability, security, use cases, and projected costs.

Develop and test solutions involving artificial intelligence, identifying practical applications and assessing the feasibility of AI-driven approaches.

Build and integrate data pipelines and RESTful APIs as part of research projects and technical experiments.

Collaborate with multidisciplinary teams to ensure research initiatives and technical solutions address defined requirements and business needs.

Produce clear technical documentation covering technology comparisons, performance results, scalability considerations, security implications, and cost projections.

Present demonstrations and technical findings clearly to stakeholders and engineering teams responsible for taking validated solutions into production.

Support junior professionals and interns through technical guidance, knowledge sharing, and mentorship.

Contribute to technical and strategic discussions by bringing research findings and validated evidence into decision-making processes.

Requirements:

Professional experience in backend software development, with a solid foundation in designing and implementing technical solutions.

Familiarity with AWS cloud infrastructure, particularly services such as EC2, SQS, and S3.

Practical experience developing or implementing solutions based on artificial intelligence.

Knowledge of multiparadigm database architectures, including relational databases such as PostgreSQL and MySQL and NoSQL technologies such as MongoDB, as well as columnar, graph, or key-value databases.

Understanding of how to evaluate and select database technologies according to different technical use cases and requirements.

Experience developing data pipelines and integrating or consuming RESTful APIs.

Analytical mindset with the ability to investigate complex technical problems, interpret experimental results, and formulate evidence-based recommendations.

Ability to work effectively in multidisciplinary environments and communicate technical concepts to audiences with different levels of technical expertise.

Strong organization and prioritization skills, particularly when managing multiple research initiatives, experiments, and deliverables.

Ability to document technical findings clearly and communicate results through presentations and demonstrations.

Collaborative mindset with an interest in sharing knowledge and supporting the technical growth of junior professionals and interns.

Comfortable working in an exploratory environment where requirements may evolve and solutions need to be validated through experimentation.

Benefits:

100% remote work with the flexibility to work from anywhere.

Access to offices in Rio de Janeiro and São Paulo for those who prefer an in-person workspace.

Opportunities for professional growth and development.

Flexible working hours, including while working remotely.

Flexible vacation arrangements in addition to the applicable employment framework.

Bradesco health and dental insurance.

Group life insurance.

Meal benefit through Caju.

Monthly home-office support for furniture and internet expenses.

Home-office allowance.

OrienteMe psychological support.

Conexa Saúde psychological and nutritional support.

Wellhub membership.

Birthday day off.

Six months of maternity leave.

One month of paternity leave.

Childcare assistance.

SESC partnership.

Game nights, both in-person and online.

Learning and development programs supporting courses, talks, books, and other professional training opportunities.

Collaborative and supportive team environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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