Senior Engineer

🕒 Ontem

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 20%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Caylent

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

📦 Logística

📣 Marketing

💰 Private Equity Round em 2022-11

Consulting • Logistics • Marketing

A Caylent é uma empresa de serviços cloud native que ajuda organizações a extrair o melhor de suas pessoas e tecnologias usando AWS. Como principal parceira de consultoria da AWS, a Caylent é especializada em DevOps como serviço, IaaS, DevOps, SaaS e diversas tecnologias de nuvem, incluindo Amazon Web Services e Google Cloud Platform. A empresa busca capacitar organizações por meio da tecnologia para que prosperem em um mundo orientado por software e promovam a inovação.

Descrição

• Build AI-native self-service using Amazon Connect AI agents, Amazon Q in Connect, and Amazon Bedrock Claude models • Engineer production-scale prompts and tool-calling integrations, including profile lookups, case creation, external APIs, authentication, and guardrails • Implement voice-AI barge-in, fallback, and error-recovery behavior and analyze turn-by-turn traces • Optimize inference cost and latency through model selection, prompt caching, and token budgeting • Diagnose AI-agent performance using observability tooling and correlated logs, transcripts, spans, tool executions, and token usage • Build multilingual, intent-based NLU and SSML-tuned voice experiences • Build Amazon Connect contact flows integrating AI agents, Lambda business logic, Customer Profiles, and dynamic routing • Implement Cases and Tasks solutions, SLA/TAT monitoring, approval workflows, and legacy-case migrations • Configure Contact Lens for sentiment, summaries, category rules, and quality management • Implement routing, outbound campaigns, compliance controls, and workforce-management integrations • Build Connect analytics data lakes with Glue, Lake Formation, Athena, and QuickSight dashboards • Support migrations from Avaya, Genesys, Cisco, Oracle, and Salesforce to Amazon Connect • Build Agent Workspace experiences using the Streams API and CRM integrations • Build serverless event-driven backends with Lambda, EventBridge, Step Functions, SQS/SNS, DynamoDB, and Kinesis • Deliver accessible WCAG 2.1 AA components and accessibility scanning/documentation • Author AWS CDK infrastructure and maintain CI/CD pipelines and automated tests • Execute phased production rollouts, write cutover runbooks, monitor systems, and participate in incident triage • Apply IAM, DevSecOps, encryption, and security/compliance baselines • Collaborate with customer engineering teams, run technical sessions, demo work, and lead knowledge transfer • Contribute to architecture decisions, code reviews, mentoring, reusable practice assets, and pre-sales proof-of-concept work

🎯 Requisitos

• 7+ years of hands-on software engineering experience, including 2+ years building on Amazon Connect or comparable CCaaS platforms at enterprise scale • Strong, current Amazon Connect skills: contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack • Hands-on experience with conversational and generative AI, Amazon Lex plus LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling • Strong TypeScript/Node.js and Python; production React experience; solid AWS serverless engineering (Lambda, EventBridge, API Gateway, DynamoDB, Step Functions, Kinesis) • Infrastructure as code proficiency with AWS CDK or Terraform, including multi-account deployment patterns • Experience shipping and supporting production systems, testing discipline, observability instrumentation, and incident debugging across the full stack • Clear communication with customer-facing composure, able to demo your work, explain trade-offs, and run working sessions with client engineers • Current legal authorization to work in Argentina; Caylent is not able to sponsor visa or work permit applications • Preferred: AWS certifications; contact center migration experience; regulated-vertical experience; contact center operations fluency; AI observability or accessibility engineering; consulting or client-delivery background

🏖️ Benefícios

• Pay in USD • 100% remote work • Generous holidays and flexible PTO • Competitive phantom equity • Paid for exams and certifications • Peer bonus awards • State of the art laptop and tools • Equipment & Office Stipend • Individual professional development plan • Annual stipend for Learning and Development • Work with an amazing worldwide team and in an incredible corporate culture

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