
1001 - 5000 funcionários
Fundada em 2014
🤖 Inteligência Artificial
☁️ SaaS
💰 Secondary Market em 2021-06
Artificial Intelligence • SaaS • Cloud Computing
A Confluent é uma empresa especializada em plataformas de streaming de dados que transformam eventos de dados em tempo real em resultados acionáveis. Suas soluções permitem o desenvolvimento de aplicativos inteligentes e em tempo real, capacitando equipes e sistemas a responder instantaneamente aos dados. A Confluent constrói uma nova categoria de dados que impacta o mundo real ao fornecer a infraestrutura para streaming de dados em tempo real, reconhecida e parceira de grandes empresas de tecnologia, como Google Cloud e Microsoft. A empresa mantém uma cultura de trabalho predominantemente remota, contratando talentos de mais de 25 países, e valoriza a diversidade e a inclusão no ambiente de trabalho.
🕒 Maio 20
🗽 New York – Remoto
💵 $197.400 - $232.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2014
🤖 Inteligência Artificial
☁️ SaaS
💰 Secondary Market em 2021-06
Artificial Intelligence • SaaS • Cloud Computing
A Confluent é uma empresa especializada em plataformas de streaming de dados que transformam eventos de dados em tempo real em resultados acionáveis. Suas soluções permitem o desenvolvimento de aplicativos inteligentes e em tempo real, capacitando equipes e sistemas a responder instantaneamente aos dados. A Confluent constrói uma nova categoria de dados que impacta o mundo real ao fornecer a infraestrutura para streaming de dados em tempo real, reconhecida e parceira de grandes empresas de tecnologia, como Google Cloud e Microsoft. A empresa mantém uma cultura de trabalho predominantemente remota, contratando talentos de mais de 25 países, e valoriza a diversidade e a inclusão no ambiente de trabalho.
• Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data. • Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment. • Drive projects from requirements and design through implementation, rollout, and ongoing operation in production. • Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability. • Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews. • Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions. • Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions. • Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform. • Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.
• 7+ years of industry experience designing, building, scaling, and operating backend systems in production. • Deep proficiency in at least one major backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design. • Hands-on experience with distributed systems, such as event-driven architectures, high-throughput services, or large-scale data pipelines. A strong understanding of consistency, fault tolerance, and performance tradeoffs. • Strong experience running production services in a public cloud (AWS, GCP, or Azure), including containerized workloads (e.g., Docker, Kubernetes). • Expertise in cloud-native technology, including networking & security, and experience being part of an on-call rotation. • Proven experience in leading and mentoring technical teams. • A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams. • Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions. • BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.
• Offers Equity
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