Senior AI & Cloud-Native Software (108-10SENG-01)
# Senior AI & Cloud-Native Software (108-10SENG-01) **OpsBrasil Serviços Cloud LTDA** · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Software-Engineer]` `[Cloud-Engineer]` `[AI-Engineer]` `[Backend-Engineer]` `[Solutions-Architect]` `[Senior-Software-AI-Engineer]` `[Senior-AI-Engineering]` `[Senior-AI-Software-Engineer]` `[Senior-Engineer-Cloud-and-DevOps-(P)]` `[Senior-AI-ML-Developer]` `[Senior-AI-Software-Developer]` `[Senior-AI-ML-Engineer]` `[Senior-Cloud-Software-Engineer]` `[Senior-Cloud-Engineering]` `[Senior-AI-Engineer]` --- ### About the Role 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 Originally posted on Himalayas
- Software-Engineer
- Cloud-Engineer
- AI-Engineer
- Backend-Engineer
- Solutions-Architect
- Senior-Software-AI-Engineer
- Senior-AI-Engineering
- Senior-AI-Software-Engineer
- Senior-Engineer-Cloud-and-DevOps-(P)
- Senior-AI-ML-Developer
- Senior-AI-Software-Developer
- Senior-AI-ML-Engineer
- Senior-Cloud-Software-Engineer
- Senior-Cloud-Engineering
- Senior-AI-Engineer
Наблюдалась 2026-10-10, впервые 2026-10-10, источник — Himalayas (JSON API).