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Vp, Infrastructure Engineering

docker

Remoto Seattle, WA
Uncategorized

Job Score

90 pts
Remote model (+90)

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

Docker is seeking an exceptional VP of Infrastructure to lead the Bridge engineering organization and drive the strategic evolution of our core platform. Bridge is the connective tissue of Docker's business, encompassing Billing, Identity & Access Management, Data, Operations, Developer Tools and Platform Infrastructure. This role is accountable for all of it.

What separates a good candidate from the right one is anticipation. Docker's products move fast, enterprise customers have complex and evolving requirements, and the market doesn't wait. We need a leader who reads the business trajectory well enough to design, build, and launch foundational infrastructure capabilities before the rest of the company knows they need them. You will own the reliability, scalability, and strategic direction of the platform that every Docker product depends on.

Reporting directly to the VP of the Container Platform, you will lead a multi-disciplinary organization of 30+ engineers and managers, partnering closely with Finance, Product, Legal, and Go-to-Market teams to deliver platform capabilities that power Docker's next phase of growth.

Responsibilities

Strategic Leadership

  • Define and own the long-term technical strategy for Bridge including Billing, IAM, Data, Operations, and Platform Infrastructure. You will partner with your Product team to ensure alignment with Docker's product roadmap and company growth objectives.

  • Operate as a strategic partner to executive leadership, proactively identifying platform capabilities and constraints that shape product and business decisions.

  • Anticipate infrastructure needs 12–18 months ahead of product demand, initiating foundational work before the business surfaces the requirement.

  • Drive cross-functional initiatives to unlock new business models, pricing strategies, compliance requirements, and enterprise go-to-market motions.

  • Establish Bridge platform as a durable competitive advantage through reliability, developer self-service, and enterprise flexibility.

Platform Architecture & Engineering

  • Architect and oversee development of scalable, highly available infrastructure spanning billing and subscription management, identity and access management, data pipelines, and core platform services.

  • Lead technical decisions around build vs. buy, vendor selection, and platform integration strategies across all five domains.

  • Ensure platform supports complex enterprise requirements including multi-seat licensing, usage-based billing, SSO/SAML/OIDC, granular policy hierarchies, and sophisticated financial reporting.

  • Champion engineering excellence: API-first design, zero-trust security posture, microservices architecture, and cloud-native operational practices.

  • Own end-to-end reliability, driving 99.9%+ uptime across billing-critical and identity-critical systems.

Team Leadership & Development

  • Lead and grow a high-performing organization of 30+ engineers and managers across Billing, IAM, Data, Operations, and Platform Infrastructure.

  • Foster a culture of technical excellence, psychological safety, and deep customer empathy across all Bridge teams.

  • Mentor engineering managers and senior ICs, developing the next generation of technical leadership within the organization.

  • Partner with Talent Acquisition to recruit top-tier engineering talent across a competitive market.

Operational Excellence

  • Establish robust operational practices ensuring platform reliability, security, and compliance across all Bridge systems.

  • Implement comprehensive monitoring, alerting, and incident response procedures, with clear SLAs and escalation paths.

  • Drive compliance initiatives including SOX, PCI DSS, GDPR, and evolving international tax and data residency requirements.

  • Define and track success metrics across all five domains, creating transparency with stakeholders and leadership.

Cross-Functional Partnership

  • Collaborate with Product Management to translate business requirements into durable platform capabilities rather than one-off solutions.

  • Work with Finance to ensure accurate revenue recognition, billing operations, and forecasting capabilities at scale.

  • Partner with Sales and Customer Success to enable complex enterprise deal structures, custom contracts, and customer-specific billing requirements.

  • Support Marketing and Growth teams with experimentation infrastructure for pricing, packaging, and conversion optimization.

Qualifications

Required

Experience & Leadership

  • 12+ years of engineering experience, with at least 7 years in an executive-level engineering leadership role (VP or equivalent).

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

  • Demonstrated track record of leading platform or infrastructure organizations of 20+ engineers across multiple functional domains.

  • Proven ability to anticipate business needs and deliver infrastructure capabilities proactively, ahead of demand.

  • Strong business acumen with the ability to translate technical platform capabilities into measurable business outcomes.

  • Excellent communication skills with experience influencing across product, finance, legal, and executive audiences.

Technical Expertise

  • Deep background in distributed systems, cloud-native architecture, and platform engineering at scale (AWS, GCP, or Azure).

  • Hands-on expertise or strong working knowledge in at least two of the five Bridge domains: billing/payments, identity & access management, data engineering, developer infrastructure, or platform operations.

  • Experience with billing and subscription management systems (Stripe, OpenMeter, Chargebee, or similar) and the operational complexity of running them in production.

  • Familiarity with enterprise IAM concepts including SSO, SAML, OIDC, RBAC, and policy enforcement at scale.

  • Proficiency in modern programming languages (Go, Python, Java, or similar) and cloud data technologies.

Domain Knowledge

  • Deep understanding of subscription billing, usage-based pricing, and enterprise contract management.

  • Working knowledge of revenue recognition principles, financial controls, and compliance frameworks (SOX, PCI DSS).

  • Experience navigating international billing requirements, tax compliance, and data residency obligations.

  • Familiarity with B2B SaaS business models, developer-focused products, and enterprise procurement dynamics.

Preferred

  • Experience at high-growth developer tools, infrastructure software, or open-source companies.

  • Background running platform engineering teams that serve both internal and external consumers.

  • Experience with container technologies, Kubernetes, or cloud-native development ecosystems.

  • Track record of successful large-scale system migrations or platform modernization programs.

  • Experience scaling an engineering organization through rapid company growth or significant product expansion.

Docker considers visa sponsorship on a case-by-case basis based on business needs.

Perks

  • Freedom & flexibility; fit your work around your life

  • Designated quarterly Whaleness Days plus end of year Whaleness break

  • Home office setup; we want you comfortable while you work

  • 16 weeks of paid Parental leave (after 6 months of employment)

  • Technology stipend equivalent to $100 USD net/month

  • PTO plan that encourages you to take time to do the things you enjoy

  • Training stipend for conferences, courses and classes

  • Equity; we are a growing start-up and want all employees to have a share in the success of the company

  • Docker Swag

  • Medical benefits, retirement and holidays vary by country

  • Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

#LI-REMOTE

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Jornalismo, RP, Comunicacao Corporativa, Marketing de Conteudo e Producao Multimidia.

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Gestao de Empresas, RH, Logistica, Consultoria, Gestao de Projetos e Empreendedorismo.

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Ciencia de Dados, Engenharia de Dados, BI, Machine Learning e IA. Da formacao ao mercado.

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Product Management, Product Ownership, Agile, Scrum e OKRs. Da estrategia a execucao.

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Dica do Especialista

Como Usar Inteligência Artificial para Conquistar as Melhores Vagas

O Guia Definitivo: Como Usar Inteligência Artificial e Ferramentas Modernas para Conquistar as Melhores Vagas

Por Equipe Mondywork | Publicado em Atualizações de Carreira


O Jogo Mudou: A Caça às Vagas na Era da Automação

Se você ainda passa horas do seu dia rolando feeds intermináveis e enviando o mesmo currículo genérico para dezenas de empresas, você está jogando o jogo do recrutamento com as regras da década passada. Hoje, o mercado de tecnologia, design e marketing digital é implacável e altamente automatizado.

Sistemas como Greenhouse, Ashby e Workday (os famosos Applicant Tracking Systems - ATS) já utilizam algoritmos rigorosos para filtrar quem passa para a entrevista humana e quem vai direto para a gaveta de rejeições. A boa notícia? Você também pode armar-se com Inteligência Artificial para hackear esse sistema e colocar o seu perfil no topo da pilha.

1. Hackeando o ATS: Currículos Otimizados por IA

O maior erro do candidato moderno é não falar a língua do robô que lerá seu currículo primeiro. A IA pode ser a sua maior aliada na hora de adaptar o seu histórico profissional para a descrição exata da vaga.

Como aplicar na prática:

  • Análise de Palavras-chave: Utilize ferramentas como ChatGPT ou Claude. Copie a descrição da vaga e o seu currículo, e use o seguinte prompt: "Atue como um Tech Recruiter sênior. Analise meu currículo com base nesta descrição de vaga e sugira mudanças precisas para melhorar minha aderência aos filtros ATS, destacando as palavras-chave que faltam."
  • Fórmulas de Impacto: Peça à IA para reescrever suas experiências usando a famosa fórmula XYZ do Google: "Realizei [X], medido por [Y], fazendo [Z]". Isso transforma descrições passivas em métricas de alto impacto.

2. Automação de Busca: Deixe os Robôs Trabalharem por Você

Procurar vagas manualmente consome um tempo precioso que deveria ser gasto estudando ou fazendo networking. Ferramentas modernas invertem essa lógica: a vaga ideal deve chegar até você.

"A automação na busca de emprego não é sobre preguiça, é sobre alocação eficiente de recursos. Profissionais de alta performance usam agregadores para filtrar o ruído do mercado." - Harvard Business Review

É exatamente aqui que plataformas como a Mondywork mudam as regras do jogo. Ao utilizar Job Alerts (alertas automáticos de vagas), você garante que algoritmos de curadoria monitorem o mercado 24 horas por dia, entregando apenas as vagas de Tech, Design e Marketing (muitas vezes remotas e em dólar) direto na sua caixa de entrada, antes mesmo que a maioria dos candidatos as veja.

3. Preparação para Entrevistas com Simuladores de IA

Passou no filtro do currículo? Agora é a hora de brilhar na entrevista. A IA hoje funciona como um mentor particular de carreira, disponível 24/7.

  • Google Interview Warmup: Uma ferramenta fantástica do Google que utiliza IA para simular entrevistas nas áreas de dados, UX design e suporte de TI, transcrevendo suas respostas e analisando seu uso de vocabulário técnico.
  • Role-play com IA: Use o modo de voz do ChatGPT no celular. Configure-o dizendo: "Assuma o papel de um Diretor de Engenharia/Marketing me entrevistando para a vaga X. Faça uma pergunta por vez e avalie minha resposta criticamente no final."

4. Networking Estratégico e Cold Mails

Enviar mensagens diretas (cold outreach) para recrutadores e gestores no LinkedIn é uma das formas mais eficazes de acessar o mercado oculto de vagas. Porém, a linha entre parecer interessante e parecer um spammer é muito tênue.

Use a Inteligência Artificial para redigir abordagens curtas, personalizadas e que gerem valor. Peça à ferramenta para analisar o perfil do recrutador ou a página da empresa e gerar uma mensagem de conexão de até 300 caracteres que soe humana, profissional e direta ao ponto.

Conclusão

A frase que ecoa no Vale do Silício nunca fez tanto sentido: "A Inteligência Artificial não vai roubar o seu emprego. Uma pessoa usando Inteligência Artificial vai." Ao dominar essas ferramentas, você deixa de ser um candidato reativo e passa a ser um profissional estratégico.

Automatize sua busca agora mesmo

Não perca tempo procurando. Deixe o nosso robô garimpar as melhores vagas remotas e internacionais para você.



Referências e Leituras Recomendadas

  • FORBES. How AI Is Changing The Job Search Process. Disponível em: forbes.com
  • HARVARD BUSINESS REVIEW. Defeating the Applicant Tracking System. Disponível em: hbr.org
  • LADDERS. Eye-Tracking Study on Recruiter Behavior. Relatório técnico sobre leitura de currículos.