Backend Python Developer, Specialist I

Grupo Boticário

. Work on the Agent Platform, a centralized platform for creating, managing, and running LLM agents across Grupo Boticário’s business channels .

Posted 10/16/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend development with Python, focusing on performance and best practices while implementing scalable GenAI solutions. Proficient in automated testing, CI/CD processes, and cloud technologies, ensuring high-quality code and effective collaboration in a cross-functional environment.

Highest-signal resume keywords

Backend Development Using PythonAutomated Testing (Unit, Integration, E2E)Continuous Integration and Continuous Delivery (CI/CD)AWS Platform (EC2, RDS, DynamoDB)Application Observability and Monitoring

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend DevelopmentPythonAutomated TestingRelational DatabasesNon-Relational DatabasesCI/CDAWSApplication ObservabilityGenAI TechnologiesLLM APIs Integration

Soft Skills

Strong Communication SkillsProactive Problem-SolvingAnalytical MindsetCollaborationAutonomous Work

Tools & Technologies

GitHubGitHub ActionsSonarKafkaSQSDocumentDBAmazon ElastiCacheAI Assistants (GitHub Copilot, Cursor)ScrumKanban

Industry Keywords

GenAILLMsAI Systems ArchitectureProduction EnvironmentsSecure Development

Tech Stack

Tools & technologies

AWSDynamoDBEC2KafkaPythonReactRedis

About the role

Key responsibilities & impact

Work on the Agent Platform, a centralized platform for creating, managing, and running LLM agents across Grupo Boticário’s business channels
Partner with the Tech Lead to bring the products’ technical vision to life
Write clean code and optimized algorithms
Participate in technical reviews to keep the squad’s technical debt low
Support the implementation of PoCs for GenAI technologies
Maintain quality and observability through automated E2E testing and error monitoring
Solve highly complex problems and ensure scalable, stable GenAI products
Implement high-quality backend solutions focused on performance, simplicity, and best practices
Develop, unit test, deploy, and monitor solutions
Enhance applications, make recommendations, and design and implement systems
Participate in product implementation decisions
Maintain, improve, and review code through Code Reviews and Pair Programming
Build strong relationships and seek innovative solutions
Keep documentation up to date
Work collaboratively and solve problems with viable solutions

Requirements

What you’ll need

Solid experience in backend development using Python
Experience with automated testing (unit, integration, E2E, load, and stress testing)
Strong command of relational and non-relational databases
Experience with Continuous Integration and Continuous Delivery (CI/CD), GitHub, GitHub Actions, and Sonar
Knowledge of the AWS platform, including EC2, Secrets Manager, Kafka, SQS, RDS, DocumentDB, DynamoDB, and Amazon ElastiCache for Redis
Familiarity with secure development, security assessments, vulnerabilities, and incident response
Familiarity with Scrum and Kanban
Ability to work autonomously in a cross-functional, multilingual, and collaborative environment
Pragmatic approach to problem-solving
Proactive, analytical, questioning mindset with a systems perspective
Experience with application observability and monitoring, including logs, metrics, and distributed tracing
Experience using AI assistants in the development workflow, such as GitHub Copilot and Cursor
Strong communication skills and ability to align with business needs
Preferred: experience integrating LLM APIs, GenAI engines, or agent platforms
Preferred: experience with LLMs in production environments
Preferred: experience with AI systems architecture and integration, including RAG, embeddings, vector databases, ingestion, and tool calling
Preferred: experience developing React web applications
Preferred: experience with frameworks for production LLM applications, such as Agno, LangChain, or LlamaIndex

Benefits

Comp & perks

Flexible medical and dental plans
Prescription assistance and healthcare allowance for family members
Free psychotherapy sessions and 24/7 telemedicine
Ongoing prevention, mental wellness, and vaccination programs
Meal allowance (or on-site restaurant) and food allowance (including an extra Christmas allowance)
Up to 40% discounts on brands across our ecosystem
Gympass/TotalPass membership for gyms and sports studios
Home office allowance for hybrid and remote work arrangements
Birthday day off
Pet health insurance, partner program benefits, and travel/accommodation programs
Extended parental leave (180 days for mothers and 120 days for fathers)
Support for parents of children with special needs and childcare assistance
School supplies allowance and child nutrition credit
Dedicated legal, psychological, and social support
Private pension plan and life insurance
Support in the event of a parent’s death and payroll-deducted loans
Transportation allowance and parking (according to the work model)