
51 - 200 employees
🤝 B2B
🎯 Recruiter
💼 Consulting
B2B • Recruitment • Consulting
Cloudary is a B2B talent and staffing company that provides Principal‑vetted cloud engineering and architecture talent exclusively to public cloud consulting and technology partners. They offer staff augmentation (rapid, white‑label deployment with near‑shore/on‑shore teams) and permanent placement services focused on senior Cloud, Data & AI roles, with an AWS specialty and fluency across GCP and Azure. Cloudary emphasizes Principal‑led live technical vetting, partner‑exclusive engagements, strict compliance (GDPR/AI), LATAM‑distributed teams for North American time‑zone alignment, and value propositions such as fast deployment (≤11 days for augmentation), median req‑to‑offer in ≤21 days for hiring, success‑only recruiting fees, high retention (90%+) and strong CSAT metrics.
🕒 October 14
AWS
Cloud
Distributed Systems
Docker
DynamoDB
Grafana
JavaScript
Kubernetes
Microservices
Node.js
Postgres
Python
Terraform
TypeScript
Where this job comes from
Posted on Cloudary's careers page, not through a job board
First seen by Remote Rocketship October 14
Still open on Cloudary's site. Checked 2 hours ago.

51 - 200 employees
🤝 B2B
🎯 Recruiter
💼 Consulting
B2B • Recruitment • Consulting
Cloudary is a B2B talent and staffing company that provides Principal‑vetted cloud engineering and architecture talent exclusively to public cloud consulting and technology partners. They offer staff augmentation (rapid, white‑label deployment with near‑shore/on‑shore teams) and permanent placement services focused on senior Cloud, Data & AI roles, with an AWS specialty and fluency across GCP and Azure. Cloudary emphasizes Principal‑led live technical vetting, partner‑exclusive engagements, strict compliance (GDPR/AI), LATAM‑distributed teams for North American time‑zone alignment, and value propositions such as fast deployment (≤11 days for augmentation), median req‑to‑offer in ≤21 days for hiring, success‑only recruiting fees, high retention (90%+) and strong CSAT metrics.
• Own the software and cloud-native architecture of AI-enabled applications and retrieval systems from design to production • Design scalable, secure, and resilient architectures, 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, 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 and guide engineers through architecture and code reviews • Implement observability and secure CI/CD pipelines
• 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, and 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 is nice to have • Customer-facing consulting experience and comfort presenting to executive stakeholders is nice to have • Advanced English proficiency (C1/C2) indicated as an application option
• Part-time contractor engagement • Hourly compensation (amount not specified) • Remote work from Brazil
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