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.

• 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.

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?

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