Navigate Change
Senior Python, AWS
Location
Brazil
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Senior Python, AWS
CI&T
• Develop and maintain scalable functions using AWS Lambda and orchestrate complex workflows with Step Functions. • Work with DynamoDB, ensuring performance, scalability and efficient access patterns (Single Table Design). • Implement asynchronous and decoupled communications using SQS and SNS. • Build and manage highly available interfaces via API Gateway. • Implement Generative AI solutions, including RAG (Retrieval-Augmented Generation) architectures and agent orchestration. • Apply Spec-Driven Development practices and ensure continuous integration within the AI development lifecycle (AI-DLC).
Job Requirements
- Advanced proficiency in Python with AI.
- Deep experience in the AWS Serverless ecosystem: Lambda, Step Functions and DynamoDB.
- Solid knowledge of messaging patterns (SQS/SNS) and REST API design.
- Experience in microservices architectures and distributed systems.
- Experience in projects using Spec-Driven Development to accelerate AI-driven development.
- (Preferred) Experience with monitoring and tracing using Datadog.
- (Preferred) Prior knowledge of regulations and standards of large financial institutions.
Benefits
- Health and dental insurance;
- Food and meal allowance;
- Childcare assistance;
- Extended parental leave;
- Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass;
- Profit Sharing (PLR);
- Life insurance;
- Continuous learning platform (CI&T University);
- Discount club;
- Free online platform dedicated to promoting physical and mental health and well-being;
- Pregnancy and responsible parenting course;
- Partnerships with online course platforms;
- Language learning platform;
- And many more
Related Guides
Related Job Pages
More Backend Engineer Jobs
Senior Backend Developer
Remote Talent LATAMWe Find You Amazing Marketing Employees from Latin America!
• Design and build backend services, APIs, and async background workers for a high-volume, multi-tenant platform • Own system design decisions and contribute to architecture discussions with a small, senior team • Work directly with Shopify APIs as part of a large-scale merchant integration • Manage and optimize PostgreSQL databases, including connection pooling and query performance • Contribute to the migration of infrastructure from Railway to Azure • Identify and resolve performance bottlenecks in a system processing millions of daily transactions • Write clean, well-documented, testable code and participate in code reviews • Use AI-assisted development tools to improve speed and quality without compromising engineering judgment
Desarrollador Fullstack, Python, Angular
RimuteeWe believe LATAM digital & tech talent need to expand their reach.
• Diseñar, desarrollar y mantener integraciones entre sistemas internos y externos • Crear y optimizar APIs REST garantizando seguridad y performance • Validar y ajustar interfaces para asegurar integraciones eficientes • Diseñar, ejecutar y automatizar pruebas unitarias y de integración • Implementar y mantener pipelines CI/CD • Monitorear, depurar y optimizar integraciones en ambientes QA y producción • Documentar APIs, procesos y flujos de integración • Colaborar activamente con equipos técnicos y de negocio
• Desenvolver, implementar e manter APIs e serviços backend utilizando a plataforma .NET (Core/.NET). • Colaborar na arquitetura de novas funcionalidades e na melhoria contínua dos sistemas existentes. • Garantir a qualidade do código através de testes unitários, de integração e boas práticas de desenvolvimento (SOLID, Clean Architecture). • Implementar e gerenciar soluções de Observabilidade (métricas, logs, traces) utilizando ferramentas como Dynatrace para monitorar a saúde e performance das aplicações em produção. • Trabalhar com infraestrutura em nuvem, implantando e gerenciando serviços no Google Cloud Platform (GCP), com foco em Google Kubernetes Engine (GKE). • Participar ativamente das cerimônias ágeis (Scrum/Kanban) e da revisão de código (Code Review). • Identificar gargalos de performance e propor soluções de otimização.
Data Engineer – Python, PySpark, AWS Glue, Amazon Athena, SQL, Apache Airflow
WizdaaSpecializes in building world-class development teams and extending runways for groundbreaking startups.
• Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake • Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls • Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store • Integrate pipeline health and metrics into engineering dashboards for full visibility and observability • Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL • Build reusable frameworks and connectors to standardize internal data publishing and consumption
