Pessoa Desenvolvedora Backend Python Especialista I (Plataforma e Serviços)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Desenvolvedora Backend Python Especialista I (Plataforma e Serviços) based in Brazil.

This is a senior backend engineering opportunity focused on modernizing critical platforms and building scalable, resilient services.

You will help transform a legacy monolithic architecture into a modern ecosystem of Python-based microservices.

The role sits at the intersection of backend engineering, cloud architecture, event-driven systems, and technical governance.

You will work on high-impact initiatives involving AWS, Kafka, RabbitMQ, REST APIs, observability, and asynchronous integrations.

AI-powered development tools are an integral part of the engineering workflow, enabling faster delivery and continuous improvement.

You will also act as a technical reference, influencing architectural decisions and collaborating independently across teams and squads.

The environment values engineering excellence, autonomy, strong documentation, and practical solutions designed for scale and long-term sustainability.

Accountabilities:

• Design, develop, and evolve resilient, high-performance microservices using Python, following scalable and maintainable engineering practices.
• Lead and execute the migration and decoupling of critical business domains from a legacy .NET monolith into a modern Python-based platform.
• Design and maintain asynchronous integrations using Kafka and/or RabbitMQ, as well as robust RESTful APIs.
• Promote high standards of software quality through unit, integration, and end-to-end testing, as well as thorough code reviews.
• Architect and maintain cloud solutions in AWS, prioritizing resilience, high availability, scalability, and efficient infrastructure costs.
• Implement and evolve application observability using APM and monitoring technologies such as New Relic and OpenTelemetry.
• Produce and maintain structured technical documentation, including RFCs, ADRs, System Design diagrams, and BPMN workflows.
• Lead root-cause analyses and troubleshooting activities and facilitate post-mortems following relevant production incidents.
• Use AI development tools such as Cursor and GitHub Copilot as part of the engineering workflow, sharing effective prompts, agents, and practices with the broader team.
• Act as a technical reference across different teams and squads, helping define integration contracts and driving architectural decisions with a high degree of autonomy.
• Contribute to security, privacy, and data-governance initiatives, including practices related to LGPD and data anonymization.

Requirements:

• Solid professional experience in Backend development with Python.
• Strong experience designing and building microservices architectures and decoupling monolithic systems.
• Practical experience with AWS or other major cloud platforms, ideally in large-scale or production environments.
• Strong knowledge of event-driven architectures and messaging, particularly Kafka and/or RabbitMQ, combined with RESTful API development.
• Hands-on experience using AI-powered development tools, such as Cursor or GitHub Copilot, to improve engineering productivity and code quality.
• Strong software quality mindset, including unit and integration testing, code reviews, and automated quality practices.
• Experience with technical documentation and architectural practices such as RFCs, ADRs, and System Design.
• Experience with observability and APM solutions, such as New Relic, OpenTelemetry, Datadog, or similar technologies.
• High degree of autonomy, ownership, self-management, and proactivity when working across multiple teams and technical domains.
• Strong analytical and problem-solving abilities, with the communication skills needed to align technical decisions and integration contracts.
• Knowledge or previous experience with .NET/C# is a plus, particularly for understanding and modernizing legacy environments.
• Familiarity with security practices, LGPD, and anonymization of personal data is desirable.
• Experience working on large-scale initiatives with a focus on cloud cost efficiency is an additional advantage.

Benefits:

• Flexible medical and dental plans.
• Medication assistance and health allowance for family members.
• Free psychotherapy sessions and 24/7 telemedicine.
• Ongoing prevention, mental health, and vaccination programs.
• Meal and food allowance, including an additional food benefit at Christmas.
• Discounts of up to 40% across the organization's brand ecosystem.
• Gympass/TotalPass for fitness and wellness activities.
• Home-office allowance for remote and hybrid work arrangements.
• Birthday day off.
• Pet health plan and discounts through partner programs, including travel and accommodation.
• Extended parental leave: 180 days for mothers and 120 days for fathers.
• Support for parents of children with special needs, plus childcare or nanny assistance.
• School-material allowance and children's nutrition support.
• Dedicated legal, psychological, and social guidance.
• Private pension plan and life insurance.
• Support in the event of parental loss and payroll-deducted loan options.
• Transportation allowance and parking, according to the applicable work model.
• Benefits are subject to eligibility based on the position and work arrangement.