Engenharia de Software Backend Sênior - Python | RD Station

Accountabilities

• AI Product Development: Lead the ongoing evolution of an AI Agent Builder product, delivering high-quality backend capabilities aligned with user needs and product objectives.

• Backend Engineering: Design, develop, and maintain scalable, resilient, and observable backend services using Python, ensuring the platform can support continued growth.

• Technical Architecture: Lead solution design discussions and make sound architectural decisions consistent with engineering standards, system requirements, and broader technical strategy.

• Cross-Functional Delivery: Collaborate closely with Product, Design, and Frontend Engineering to translate business needs into sustainable technical solutions, anticipate dependencies, and remove delivery blockers.

• Technical Leadership and Mentoring: Serve as a technical reference for the engineering team, conduct code reviews, provide constructive feedback, and share knowledge to improve engineering practices.

• Service Reliability and Performance: Monitor service health, improve observability and performance, support incident management, and address technical debt to maintain platform stability.

• Roadmap and Delivery Management: Help ensure predictable delivery by balancing development speed, code quality, scalability, and long-term maintainability.

• AI-Assisted Development: Use AI-powered development tools, such as Cursor, to improve productivity while maintaining responsibility for code quality, security, and maintainability.

• Continuous Improvement: Encourage engineering excellence, contribute to technical discussions, and identify opportunities to improve development workflows, architecture, and team effectiveness.

Requirements

• Python Backend Development: Strong professional experience building, maintaining, and evolving complex backend applications and services using Python.

• Software Architecture: Experience designing software architectures, REST APIs, distributed systems, and integrations between services.

• Engineering Best Practices: Strong understanding of SOLID principles, design patterns, automated testing, code quality, and maintainable software development.

• Databases and Asynchronous Processing: Experience with relational and/or NoSQL databases, along with asynchronous processing or event-driven architectures.

• Cloud and Delivery Infrastructure: Practical experience with cloud environments, CI/CD pipelines, and observability practices.

• Technical Leadership: Experience acting as a technical reference or informal/formal tech lead, guiding engineers through code reviews, architectural decisions, and technical discussions.

• Technical Decision-Making: Ability to evaluate trade-offs involving scalability, performance, security, delivery timelines, and business impact.

• Cross-Functional Collaboration: Ability to work effectively with multidisciplinary teams and provide technical direction across backend and frontend development.

• AI-Assisted Development Tools: Familiarity with AI-powered coding assistants and the ability to use them responsibly to improve engineering efficiency.

• Ownership and Communication: Strong sense of ownership, clear communication, pragmatic problem-solving, and curiosity to learn in a rapidly evolving technical environment.

• Generative AI Experience: Experience with generative AI products, large language models (LLMs), or AI agents is a strong advantage.

• Agent Architecture and Prompt Engineering: Familiarity with agent architectures, tool orchestration, and prompt engineering is desirable.

• Model Context Protocol (MCP): Experience with MCP and integrations between AI agents and external services is an advantage.

• LLMOps and AI Evaluation: Knowledge of LLMOps practices, AI application monitoring, and evaluation methodologies is desirable.

• Additional Technologies: Familiarity with React, TypeScript, Google Cloud Platform (GCP), Docker, Kafka, Pub/Sub, PostgreSQL, MongoDB, or Datadog is beneficial.

• Digital Product Experience: Experience working on rapidly evolving digital products with significant scalability challenges is a plus.

Benefits

• Remote Work: Fully remote working arrangement within Brazil.

• Technical Ownership: Opportunity to influence architecture and lead the evolution of an AI-powered product.

• Professional Development: Opportunities to deepen expertise in Python, distributed systems, software architecture, and generative AI technologies.

• Technical Leadership Growth: Opportunity to mentor engineers, guide technical decisions, and strengthen leadership capabilities.

• Innovative Technology Environment: Work with AI-assisted development tools and modern engineering practices in a fast-evolving product environment.

• Collaborative Culture: Work closely with Product, Design, and Engineering teams to deliver solutions with meaningful business impact.

• Continuous Learning: Opportunities to explore emerging technologies, share knowledge, and contribute to engineering excellence.

• Well-Being and Inclusion: A workplace culture that emphasizes employee well-being, diversity, belonging, and the combination of human judgment with AI-enabled innovation.

• Compensation and Specific Benefits: Salary details, healthcare coverage, bonuses, and other specific benefits were not disclosed in the original job posting.