This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Engenheira Backend Python Sênior based in Brazil.
This role sits at the intersection of high-scale backend engineering, cloud-native architecture, and AI-augmented software development. You will join a highly skilled engineering team responsible for building and evolving critical data and platform services that power large-scale financial systems. The environment is fast-paced, innovation-driven, and strongly oriented toward engineering excellence and modern development practices. In addition to designing robust backend systems, you will actively shape how AI is used in the software lifecycle, leveraging code agents and automation to accelerate delivery. The role demands strong architectural thinking, deep backend expertise, and the ability to operate in complex distributed environments. You will also contribute to advancing engineering practices such as SDD, intent-driven development, and autonomous testing frameworks.
Accountabilities:
- Design, develop, and maintain scalable backend systems using Python, with integration in Java-based ecosystems when needed.
- Build and evolve APIs and microservices architectures aligned with cloud-native and event-driven principles.
- Contribute to the design and implementation of distributed systems running on AWS and modern cloud infrastructure.
- Develop and maintain CI/CD pipelines, DevOps workflows, and infrastructure-as-code using Terraform.
- Implement and improve automated testing strategies, including TDD and distributed system testing approaches.
- Work with observability, logging, and monitoring tools to ensure system reliability and performance.
- Collaborate with cross-functional teams to define technical solutions and ensure high-quality software delivery.
- Leverage AI-driven development tools and code agents, including SDD and intent-based development practices.
- Design modular components, tools, and safe execution patterns for autonomous coding systems.
- Participate in architecture decisions involving scalability, resilience, and maintainability of backend platforms.
Requirements:
- Strong experience in backend development with Python and solid knowledge of Java.
- Deep understanding of object-oriented programming and software design principles.
- Proven experience with APIs, microservices, and distributed system architectures.
- Strong knowledge of cloud services, especially AWS (ECS, Lambda, Step Functions, CloudWatch, S3, SNS, RDS).
- Experience with relational and non-relational databases and system performance considerations.
- Solid understanding of testing strategies (unit, integration, TDD) in distributed environments.
- Hands-on experience with Git, CI/CD pipelines, and DevOps practices.
- Experience with Docker and Kubernetes or OpenShift in production environments.
- Familiarity with Infrastructure as Code using Terraform.
- Experience working in agile environments (Scrum, SAFe).
- Knowledge of software architecture, system design, and engineering best practices.
Differentials:
- Experience with NoSQL databases such as DynamoDB.
- Exposure to big data platforms like Hadoop or SAS.
- Experience with Kafka and event-driven systems.
- Knowledge of SRE practices and reliability engineering.
- Familiarity with generative AI, multi-agent systems, and AI-assisted development workflows.
- Experience with observability tools and monitoring of cloud-native applications.
Soft Skills:
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in multidisciplinary agile teams.
- Clear communication with technical and non-technical stakeholders.
- Proactivity and ownership mindset.
- Strong adaptability in fast-changing technical environments.
- Curiosity and openness to modern AI-driven engineering practices.
Benefits:
- Remote-first work model with full flexibility (Anywhere Office).
- Flexible working hours.
- Health and dental insurance plans.
- 24/7 telemedicine and mental health support.
- Wellhub access and wellness programs.
- Extended maternity and paternity leave.
- Home office allowance and financial support benefits.
- Meal and food vouchers.
- Life insurance coverage.
- Childcare assistance and transportation support.
- Career development programs, certifications, and internal learning guilds.
- Profit sharing (PLR).
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!
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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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