Full Stack Engineering Manager – Privacy, Security, AI Governance

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🕒 Setembro 25

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 18%

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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B5 Recruiting

SiteLinkedInTodas as Vagas

2 - 10 funcionários

🎯 Recrutamento

🤝 B2B

Recruitment • B2B

A B5 Recruiting é uma empresa de recrutamento e seleção que se posiciona como uma parceira e extensão das equipes dos clientes. Oferece contratação estratégica para preencher cargos permanentes, equipes de desenvolvimento nearshore (talentos da América Latina e Canadá que trabalham nos mesmos fusos horários dos clientes) e serviços de recrutamento integrado, onde recrutadores são colocados dentro das organizações dos clientes. A B5 enfatiza a entrega rápida, soluções independentes do setor e ampliação das funções de contratação para atender às necessidades empresariais.

Descrição

• Translate client goals, risk considerations, and policy requirements into solution architectures, product specifications, engineering backlogs, and implementation plans • Lead the design, development, integration, testing, deployment, and troubleshooting of production applications and services • Build APIs, automated workflows, integrations, dashboards, and supporting components • Incorporate governance into development and deployment through automated checks, controls-as-code, policy enforcement, and ongoing monitoring • Develop prototypes, test approaches, refine solution direction, and support proofs of concept, technical demonstrations, effort estimates, and pricing inputs • Manage delivery scope, schedules, quality, engagement financials, and client satisfaction • Resolve implementation challenges across applications, integrations, data, and deployment processes • Lead multidisciplinary delivery teams and mentor engineers • Establish reusable tools, documentation, knowledge-sharing practices, and engineering standards • Deliver solutions addressing privacy, online safety, AI governance, sensitive data protection, data discovery, classification, DLP, encryption, PKI, and cryptographic capabilities

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent demonstrated experience • At least 7 years of experience translating client requirements into solution architectures using REST APIs, microservices, event-driven patterns, or serverless services • At least 7 years of experience developing and deploying production solutions with Python, Java, or Node.js • At least 2 years of experience delivering solutions on AWS, Microsoft Azure, or Google Cloud, including containers, CI/CD pipelines, and version control • At least 1 year of experience designing or deploying generative AI or large language model (LLM) solutions in a client or production setting • Experience in at least one relevant domain: digital trust, online protection, trust and safety, security, product compliance, privacy, AI governance, data protection, or cryptography • Experience leading technical workstreams, multidisciplinary teams, or engineering delivery teams • Experience managing scope, schedules, quality, risks, dependencies, and client communications • Experience coaching or mentoring professionals and contributing to solution proposals, estimates, prototypes, technical demonstrations, or business development efforts • Willingness to travel approximately 25–50% • Limited immigration sponsorship may be available • Preferred: JavaScript or TypeScript and React or Next.js • Preferred: Technical controls for generative AI, LLM, or agentic AI applications • Preferred: AI-use-case inventories, risk classification, human oversight, tool access restrictions, prompt-injection protections, logging, monitoring, or controls-as-code • Preferred: Regulated-environment experience involving SOX, PCI DSS, FFIEC, HIPAA, or GDPR • Preferred: Kubernetes, GitOps, Elasticsearch, OpenSearch, Neo4j, PyTorch, or TensorFlow • Preferred: Product roadmaps, technical backlogs, or reusable engineering assets • Preferred: Senior client stakeholder engagement for architecture and risk decisions

🏖️ Benefícios

• Remote work arrangement • Limited immigration sponsorship may be available • Opportunity to work on privacy, security, online safety, AI governance, and sensitive data protection projects • Mentoring and knowledge-sharing opportunities • Technical leadership and client delivery experience • Approximately 25–50% travel depending on client and project needs

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