This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Cloud Application Architecture based in Brazil.
You will design and modernize enterprise applications using cloud-native technologies across the AWS ecosystem.
The role combines application architecture, distributed systems, serverless and containerized workloads, and API design.
You will collaborate closely with AWS specialists on innovative solutions for a major financial-sector client.
A key focus will be building resilient, scalable, secure, and cost-efficient architectures capable of operating at enterprise scale.
You will also bring generative AI capabilities into production through agents, Amazon Bedrock, RAG, guardrails, and quality evaluation.
The position offers an opportunity to work on modern cloud architectures while influencing technical direction and delivery practices.
You will join a collaborative, technology-driven environment focused on solving complex business challenges through AWS and AI.
Accountabilities
- Design and implement serverless and containerized applications on AWS using services such as Lambda, Step Functions, ECS, and EKS Fargate.
- Architect solutions with a strong focus on resilience, concurrency, cost optimization, retries, and dead-letter queue (DLQ) strategies.
- Design contract-first APIs using API Gateway and OpenAPI 3.x, incorporating appropriate versioning and authentication approaches.
- Implement real-time communication channels, including technologies such as Server-Sent Events (SSE) and MCP.
- Design event-driven architectures using SNS, SQS, and EventBridge, ensuring ordering, idempotency, reliability, and low latency.
- Develop and integrate production-ready generative AI solutions, including AI agents, Amazon Bedrock, RAG architectures, guardrails, and quality evaluation.
- Apply distributed-systems patterns such as sagas, eventual consistency, and circuit breakers to build robust enterprise applications.
- Design and implement secure application architectures using IAM principles, least privilege, and RBAC/ABAC approaches.
- Establish effective operational observability using tools such as CloudWatch and Datadog, supported by appropriate SLI/SLO practices.
- Implement infrastructure and application delivery as code using Terraform and CI/CD pipelines.
- Collaborate with AWS specialists and client stakeholders to understand requirements and translate business challenges into scalable technical solutions.
- Contribute to architectural decisions, technical implementation, and continuous improvement throughout the delivery lifecycle.
Requirements
- Strong experience designing and implementing cloud-native application architectures on AWS.
- Hands-on expertise with AWS services including Lambda, Step Functions, API Gateway, SNS, SQS, EventBridge, ECS/EKS Fargate, and Amazon Bedrock.
- Proven experience with both serverless and containerized application architectures.
- Strong understanding of event-driven architectures and distributed systems, including patterns such as sagas, eventual consistency, circuit breakers, retries, and idempotency.
- Experience designing contract-first APIs using API Gateway and OpenAPI 3.x, including API versioning and authentication.
- Practical experience incorporating generative AI into production applications, particularly agents, RAG, Amazon Bedrock, guardrails, and evaluation approaches.
- Solid understanding of application security and AWS IAM, including least-privilege principles and RBAC/ABAC.
- Experience with operational observability, including CloudWatch or Datadog and SLI/SLO practices.
- Experience with Infrastructure as Code, particularly Terraform, and modern CI/CD delivery practices.
- Strong architectural thinking and the ability to balance scalability, resilience, performance, security, and cost.
- Strong communication and collaboration skills, with the ability to work effectively with technical specialists and enterprise stakeholders.
- AWS certifications such as AWS Certified Solutions Architect – Associate and/or AWS Certified Developer – Associate are advantageous.
- Experience working with large-scale enterprise or financial-services environments is a plus.
- A pragmatic, solution-oriented mindset and the ability to navigate complex technical challenges.
Benefits
- Health and dental insurance.
- Food and meal allowances.
- Childcare assistance.
- Extended parental leave.
- Access to fitness, healthcare, and wellness professionals through Wellhub and TotalPass.
- Profit Sharing and Results Participation (PLR).
- Life insurance.
- Continuous learning opportunities through a dedicated professional development platform.
- Employee discounts and partner benefits.
- Free online resources supporting physical health, mental health, and overall well-being.
- Pregnancy and responsible-parenthood support courses.
- Partnerships with online learning platforms.
- Access to language-learning resources.
- Additional employee benefits and support programs.
- Remote-working opportunities within Brazil, subject to applicable local working policies.
- An inclusive environment with dedicated health, well-being, and inclusion support.
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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