Senior Engineering Manager, Infrastructure & Data Engineering

🕒 Setembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 2%

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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Ignite Reading

SiteLinkedInTodas as Vagas

51 - 200 funcionários

📚 Educação

🤝 B2B

💰 $36.750.000 Series B - Ignite Reading em 2024-10

Education • B2B

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Descrição

• Lead, manage, and grow the DevOps and Data Engineering teams • Provide technical guidance, mentorship, and career development for six engineers • Develop technical leads within each team • Set and drive a unified platform roadmap with the Director of Engineering and VP of Data • Balance infrastructure investment, data platform direction, technical debt, and delivery needs • Ensure reliable, scalable, and secure AWS cloud infrastructure • Maintain smooth and efficient deployment pipelines for the engineering organization • Ensure the data platform serves product engineering and analytics/data science teams • Establish clear intake, prioritization, and data quality standards • Oversee monitoring, alerting, on-call, and incident response • Own the annual SOC2 audit and penetration test cycles • Coordinate auditors, vendors, and internal teams • Track remediation • Collaborate with development teams to integrate DevOps and data best practices into the software development lifecycle • Write and collaborate on technical specifications • Review designs and guide architectural decisions • Model effective use of GitHub Copilot, Cursor, Claude, and similar AI tools • Coach teams on AI-assisted development practices • Track and share team-level AI adoption progress, wins, and learnings

🎯 Requisitos

• 8+ years in software, infrastructure, or data engineering • 2+ years directly managing engineers • Deep, hands-on expertise in cloud infrastructure/DevOps or modern data engineering • Working fluency in the other domain • Experience running a team serving multiple internal customers • Familiarity with security and compliance standards such as SOC2 • Experience owning a compliance program end-to-end • Experience developing senior engineers into technical leads • Experience building team resilience through documentation, on-call health, and single-point-of-failure reduction • Exceptional communication and interpersonal skills • Strategic thinking and ability to balance short-term objectives with long-term goals • Ability to be self-managing and flexible in a remote environment • Demonstrated regular use of AI coding assistants • Ability to validate AI outputs and identify when suggestions should be modified or rejected • Understanding of when AI tools add value versus traditional approaches • Willingness to learn, adapt to, and coach others on AI development tools and practices

🏖️ Benefícios

• Employee Stock Options • Medical, Dental, and Vision plans (80% employee coverage, 70% dependent coverage) • Short-term Disability (100% employer paid) • 401(k) retirement plans with company contribution • 12-weeks paid parental leave • Unlimited vacation days • 12 paid holidays • Technology Stipend • Wellness Stipend • Voluntary Life Insurance • Professional Development Stipend

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