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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud-native architectures for AI-enabled applications, with a strong focus on microservices, security, and observability. Proficient in translating business requirements into technical solutions while ensuring high performance and safety in production environments.
Highest-signal resume keywords
Cloud-Native ArchitectureGenAI and LLM ApplicationsTypeScript/Node.js or Python EngineeringAWS Certified Solutions Architect – ProfessionalMicroservices and Domain-Driven Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native PatternsMicroservicesREST APIsAsynchronous APIsEvent-Driven SystemsSecurity in Cloud-Native SystemsDockerCI/CDObservability ToolsTerraform
Soft Skills
Customer-Facing ConsultingPresentation to Executive Stakeholders
Tools & Technologies
AWSKubernetesOpenTelemetryGrafanaDatadogCloudWatchPgvectorOpenSearchWhatsApp Business APIAmazon Connect
Certifications & Qualifications
AWS Certified Solutions Architect – Professional
Industry Keywords
AI Safety ControlsRAGEmbeddingsVoice BotsEventBridgeStep FunctionsECS/EKSAurora PostgreSQLDynamoDBCDK
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerDynamoDBGrafanaJavaScriptKubernetesMicroservicesNode.jsPostgresPythonTerraformTypeScript
About the role
Key responsibilities & impact- Own the software and cloud-native architecture of AI-enabled applications and retrieval systems from design to production
- Design scalable, secure, and resilient architectures for AI-enabled applications, including service boundaries, data flows, APIs, and integration patterns
- Define cloud-native patterns across microservices, containers, serverless, and event-driven systems
- Design and productionize GenAI and RAG solutions, including model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization
- Build backend services in TypeScript/Node.js and/or Python
- Build event-driven workflows with queues, workers, and webhooks
- Define non-functional requirements, evaluate trade-offs, and document decisions in ADRs
- Translate business use cases into technical designs, assessments, and executive summaries
- Own architecture from discovery to go-live
- Guide engineers through architecture and code reviews
- Implement observability and secure CI/CD pipelines
Requirements
What you’ll need- 7+ years of software engineering experience
- Proven experience owning the architecture of production distributed systems, including microservices, domain-driven design, REST and asynchronous APIs
- Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls
- Experience with RAG, embeddings, and vector databases such as pgvector or OpenSearch
- Strong TypeScript/Node.js or Python engineering experience
- Deep knowledge of cloud-native patterns, including containers and Kubernetes, serverless, event-driven messaging, and resilience patterns
- Strong understanding of security in cloud-native systems, including identity, authorization, secrets management, and data protection
- Experience with Docker, CI/CD, automated testing, and observability tools such as OpenTelemetry, Grafana, Datadog, or CloudWatch
- AWS knowledge including Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, or DynamoDB
- Experience with conversational and contact center technologies such as WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, or voice bots
- Experience with Terraform, CloudFormation, or CDK
- AWS Certified Solutions Architect – Professional or equivalent
- Customer-facing consulting experience and comfort presenting to executive stakeholders
- Advanced English proficiency (C1/C2)
Benefits
Comp & perks- Part-time contractor engagement
- Remote work in Brazil
- Hourly compensation arrangement
