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Confluent

Set data in motion.

Senior Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2014H1B SponsorCompany SiteLinkedIn

Location

New York

Posted

64 days ago

Salary

$197.4K - $232K / year

Seniority

Senior

Job Description

Senior Software Engineer

Confluent

• 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.

Job Requirements

  • 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.

Benefits

  • Offers Equity

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