Senior AI & Cloud-Native Software (108-10SENG-01)

OpsBrasil Serviços Cloud LTDA; United States; Remote; USD 165,000 - 248,000; Part time

Job summary

OpsBrasil Serviços Cloud LTDA is seeking an experienced architect to own the software and cloud-native architecture of AI-enabled applications and retrieval systems. You will lead GenAI/RAG designs, build backend services in TypeScript/Python, and ensure security, reliability, and observability for production workloads.

The role combines architectural leadership with hands-on engineering, from discovery through go-live, including architecture reviews and ADR documentation.

Qualifications

• 10+ years in software engineering with distributed systems focus.
• Hands-on delivery of GenAI/LLM applications and AI safety controls.
• Experience with cloud-native patterns, security, and observability.

Responsibilities

• Design scalable, secure architectures for AI-enabled apps and retrieval systems.
• Define patterns across microservices, containers, serverless, and event-driven systems.
• Produce GenAI/RAG solutions including routing, retrieval, evaluation, and cost/latency optimization.
• Build backend services in TypeScript/Node.js and/or Python; implement event-driven workflows.
• Document ADRs, guide engineers through architecture and code reviews.
• Translate business use cases into technical designs and exec summaries.
• Establish observability and secure CI/CD pipelines.

Skills

Distributed systems

GenAI / LLM delivery

Cloud security

Technical leadership

ADR documentation

Executive communication

Tools

Docker

Kubernetes

CI/CD tooling

OpenTelemetry

Grafana

Datadog

CloudWatch

pgvector

OpenSearch

Job description

This role owns the software and cloud-native architecture of AI-enabled applications and retrieval systems, from design to production. It combines architectural leadership with hands-on engineering: designing GenAI and RAG solutions, building cloud-native backend services, and ensuring the security, reliability, and observability required for production workloads.

Requirements

What you will do

• Design scalable, secure, and resilient architectures for AI-enabled applications, defining 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: model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization.
• Build backend services in TypeScript/Node.js and/or Python, and 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 the architecture from discovery to go-live, guiding engineers through architecture and code reviews.
• Implement observability and secure CI/CD pipelines.

Job requirements

• 7+ years of software engineering experience.
• Proven experience owning the architecture of production distributed systems (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 (pgvector, OpenSearch, or equivalent).
• Strong TypeScript/Node.js or Python engineering experience.
• Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven messaging, and resilience patterns.
• Strong understanding of security in cloud-native systems: identity, authorization, secrets management, and data protection.
• Docker, CI/CD, automated testing, and observability (OpenTelemetry, Grafana, Datadog, or CloudWatch).

Nice to have

• AWS: Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB.
• Conversational and contact center: WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, voice bots.
• Terraform, CloudFormation, or CDK.
• AWS Certified Solutions Architect – Professional or equivalent.
• Customer-facing consulting experience and comfort presenting to executive stakeholders.

Engagement details

Part time Remote Contractor Hourly Start: ASAP

Highlights

• AWS (Bedrock, Lambda, SQS, EventBridge), GenAI / LLM, RAG & Vector Databases (pgvector, OpenSearch), TypeScript / Node.js, Python, Kubernetes, Docker, PostgreSQL, Terraform / CloudFormation / CDK