
1001 - 5000 funcionários
Fundada em 2012
📣 Marketing
💼 Consultoria
📦 Logística
Marketing • Consulting • Logistics
A DraftKings Inc. é uma empresa de entretenimento esportivo digital que opera uma das principais plataformas online de apostas esportivas, esportes de fantasia diários e cassinos, oferecendo experiências de apostas e jogos por dinheiro real via web e aplicativos móveis. Combina dados esportivos, análises e conteúdo para envolver os fãs, fornece programas de marketing e fidelização/VIP e mantém equipes globais nas áreas de engenharia, produto, conformidade e experiência do cliente, enquanto enfatiza o jogo responsável.
🕒 Junho 30
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $200.000 - $250.000 / ano
⏰ Tempo Integral
🔴 Especialista
⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2012
📣 Marketing
💼 Consultoria
📦 Logística
Marketing • Consulting • Logistics
A DraftKings Inc. é uma empresa de entretenimento esportivo digital que opera uma das principais plataformas online de apostas esportivas, esportes de fantasia diários e cassinos, oferecendo experiências de apostas e jogos por dinheiro real via web e aplicativos móveis. Combina dados esportivos, análises e conteúdo para envolver os fãs, fornece programas de marketing e fidelização/VIP e mantém equipes globais nas áreas de engenharia, produto, conformidade e experiência do cliente, enquanto enfatiza o jogo responsável.
• Define and execute the long-term strategy for our Kubernetes platform across Google Kubernetes Engine, Amazon Elastic Kubernetes Service, RKE2, and on-premise environments, ensuring reliability, scalability, and operational consistency. • Drive architectural decisions across critical infrastructure, including cluster lifecycle management, networking, identity and access management, observability, autoscaling, capacity planning, and cost optimization. • Lead large-scale platform initiatives across multiple engineering teams, establishing technical direction, engineering standards, and measurable outcomes that improve platform reliability and developer experience. • Establish and evolve reliability practices by defining service level objectives, service level indicators, and error budget frameworks that align platform performance with business priorities. • Build automation-first infrastructure through Infrastructure as Code, GitOps workflows, self-healing systems, and internal platform tooling that improve engineering velocity and reduce operational overhead. • Champion the responsible adoption of AI-powered engineering capabilities that improve operational efficiency, accelerate incident response, and enhance developer productivity. • Lead critical platform incidents, drive post-incident improvements, and strengthen platform resilience through automation, capacity planning, and operational excellence. • Mentor senior engineers, influence technical strategy across the organization, and elevate engineering excellence through architecture reviews, coaching, and technical leadership.
• A Bachelor's Degree in Computer Science or a related technical field. • At least 8 years of experience designing, operating, and scaling distributed cloud and on-premise infrastructure, including at least 3 years operating at the Staff, Principal, or equivalent technical leadership level. • Proven experience leading large-scale infrastructure or platform initiatives that require cross-functional alignment and long-term technical ownership. • Deep expertise with Kubernetes, including cluster architecture, networking, storage, security, operators, lifecycle management, and large-scale production operations. • Extensive experience building and operating production infrastructure in AWS and Google Cloud Platform using Infrastructure as Code technologies such as Terraform, Pulumi, or similar tools. • Strong software development experience in Go, Python, or both, with expertise in GitOps, continuous integration and continuous delivery, observability, distributed systems, Linux, and reliability engineering principles. • Experience incorporating AI-powered tools into engineering workflows while applying sound judgment around reliability, security, and operational risk. • Exceptional communication and leadership skills with a proven ability to mentor engineers, influence technical strategy, and drive engineering excellence. • Experience working in regulated industries, hybrid cloud environments, contributing to open-source projects, or holding cloud certifications is preferred.
• bonus • equity • benefits as applicable
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