AWS Python Cloud Application Architecture

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Python Cloud Application Architecture based in Brazil. As a Delivery Consultant – Cloud Application Architecture, you will design, modernize, and implement enterprise applications on AWS for a major financial-services environment. You’ll work at the intersection of cloud architecture, Python development, serverless and containerized applications, and distributed systems. The role focuses on building resilient, scalable, secure, and cost-efficient solutions using modern AWS services. You’ll also help bring Generative AI capabilities into production through agents, Amazon Bedrock, RAG, guardrails, and quality evaluation. Working closely with cloud specialists and technical stakeholders, you’ll translate complex business and technology requirements into robust architectures. This is an opportunity to contribute to strategic cloud transformation initiatives while working with modern, AI-enabled engineering practices. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Python Cloud Application Architecture based in Brazil. As a Delivery Consultant – Cloud Application Architecture, you will design, modernize, and implement enterprise applications on AWS for a major financial-services environment. You’ll work at the intersection of cloud architecture, Python development, serverless and containerized applications, and distributed systems. The role focuses on building resilient, scalable, secure, and cost-efficient solutions using modern AWS services. You’ll also help bring Generative AI capabilities into production through agents, Amazon Bedrock, RAG, guardrails, and quality evaluation. Working closely with cloud specialists and technical stakeholders, you’ll translate complex business and technology requirements into robust architectures. This is an opportunity to contribute to strategic cloud transformation initiatives while working with modern, AI-enabled engineering practices. Accountabilities: Design and implement resilient, scalable, and cost-efficient enterprise applications using AWS serverless and containerized services. Develop solutions using AWS Lambda, Step Functions, ECS/EKS Fargate, and related cloud-native technologies. Design architectures that address resilience, concurrency, retries, dead-letter queues, fault tolerance, and operational efficiency. Create contract-first APIs using API Gateway and OpenAPI 3.x, including versioning, authentication, and real-time communication patterns such as SSE and MCP. Design and implement event-driven architectures using SNS, SQS, and EventBridge, with appropriate approaches to ordering, idempotency, low latency, and reliability. Develop distributed-system patterns including sagas, eventual consistency, circuit breakers, and other resilience mechanisms. Incorporate Generative AI capabilities into production applications, including AI agents, Amazon Bedrock, RAG, guardrails, and quality evaluation. Apply application security best practices, including least-privilege access, IAM, RBAC, and ABAC. Establish strong operational observability using tools such as CloudWatch and Datadog, supported by appropriate SLI/SLO practices. Implement infrastructure and application delivery through Infrastructure as Code, Terraform, and CI/CD pipelines. Collaborate closely with cloud specialists, engineering teams, and business stakeholders to translate requirements into scalable technical solutions. Contribute to application modernization and continuous improvement initiatives across complex enterprise environments. Requirements: Proven experience designing and implementing cloud-native enterprise applications on AWS. Strong hands-on expertise with serverless and containerized architectures, particularly AWS Lambda, Step Functions, ECS/EKS Fargate, and related services. Solid experience designing APIs using API Gateway and OpenAPI 3.x, including authentication, versioning, and real-time communication patterns. Strong understanding of event-driven architectures and AWS services such as SNS, SQS, and EventBridge. Experience with distributed systems and resilience patterns, including sagas, eventual consistency, circuit breakers, idempotency, retries, and fault tolerance. Strong Python development skills and familiarity with Angular. Experience incorporating Generative AI into production applications, including agents, Amazon Bedrock, RAG, guardrails, and model or solution evaluation. Strong understanding of AWS security and IAM, including least-privilege principles and RBAC/ABAC. Experience with observability practices and tools such as CloudWatch and Datadog, including SLI/SLO monitoring. Hands-on knowledge of Terraform, Infrastructure as Code, and CI/CD practices. Strong problem-solving, architectural thinking, communication, and collaboration skills. Ability to work effectively with technical specialists and stakeholders in complex enterprise and financial-services environments. AWS certifications such as AWS Certified Solutions Architect – Associate and/or AWS Certified Developer – Associate are preferred. A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related discipline is advantageous. Benefits: Comprehensive health and dental insurance. Meal and food allowances. Childcare assistance. Extended parental leave. Access to fitness, wellness, and healthcare professionals through Wellhub and TotalPass partnerships. Profit Sharing and Results (PLR) participation. Life insurance. Continuous learning opportunities through an internal learning platform. Partnerships with online course providers. Access to language-learning resources. Discounts through partner programs and employee benefits. Online resources dedicated to physical health, mental wellbeing, and overall wellness. Pregnancy and responsible-parenting courses and support. Inclusive workplace initiatives and dedicated health, wellbeing, and inclusion support. Opportunities to work on modern AWS, cloud modernization, distributed systems, and Generative AI initiatives. Remote working opportunity, subject to applicable workplace policies and location requirements. 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! Why Apply Through Jobgether? 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. #LI-CL1