Staff Software Engineer I- Confluent Platform

Contenido del rol extraído en secciones para revisar más rápido.

Technically lead the evolution of the Confluent Platform, with deep ownership of USM, hybrid-first management, and platform-wide operational capabilities.
Partner closely with product management, engineering leadership, and cross-org stakeholders (including Confluent Cloud) to define and execute the CP roadmap.
Act as a strong external technical voice for Confluent Platform across the company.
Champion domain health, operational hygiene, and platform reliability; raise the bar through design and code reviews.
Lead architecture and design of large, complex systems spanning distributed systems, Kubernetes, security, and observability.
Mentor and grow senior engineers and technical leads, providing hands-on guidance and career mentorship.Represent and strengthen engineering leadership in India, setting standards for execution, communication, and engineering excellence.Build and evolve processes that enable teams to operate at scale without sacrificing quality or velocity.

10+ years of hands-on software development experience, with a proven ability to anticipate future technical needs and execute toward them.
A strong track record of taking ideas from concept to production in complex, high-scale systems.
Willingness to roll up your sleeves—design, code, debug, and operate critical systems.
Deep experience building and operating large-scale distributed systems, including strong fundamentals in OS, networking, storage, and cloud infrastructure.
Excellent grounding in distributed systems, concurrency, and multi-threaded programming.
A proactive, self-starter mindset with strong problem-solving skills—identifying root causes and driving durable fixes.
Ability to balance short-term execution with long-term architectural integrity; ship incrementally and iterate with urgency.
Strong influence skills—able to drive technical decisions across teams and senior leadership through clear, data-driven communication.
Experience handling high-severity production issues, including on-call ownership, deep debugging, and mitigation under pressure.BS/MS in Computer Science, Engineering, or equivalent practical experience.

Experience in open-source development
Experience using Apache Kafka, Apache Flink, Apache Spark is a big plus
Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)
Experience working on stream processing technology or query processing systems
Data processing systems in general

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