
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
💰 Secondary Market on 2021-06
Artificial Intelligence • SaaS • Cloud Computing
Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.
🕒 March 26
🌽 Illinois, North Carolina, +2 more states – Remote
💵 $197.4k - $232k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
💰 Secondary Market on 2021-06
Artificial Intelligence • SaaS • Cloud Computing
Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.
• 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.
• 5+ 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 oncall 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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