Staff Software Engineer

Confluent Confluent · Data AI · ON · Remote · Engineering

Staff Software Engineer at Confluent on the Business Technology team, focusing on building internal web applications for revenue, forecasting, and operational efficiency. The role involves leading architecture, design, and implementation of complex systems, partnering with stakeholders, and mentoring engineers. The team aims to enable AI capabilities for end-users, indicating an 'Exploring' AI maturity signal within an enterprise context.

What you'd actually do

  1. Lead the architecture, design, and implementation of high impact internal web applications that support deal lifecycle, pricing and quoting, forecasting, and planning workflows.
  2. Own complex, cross team technical initiatives from problem framing through design, implementation, rollout, and long term evolution.
  3. Identify and drive high leverage technical investments that improve reliability, performance, developer velocity, and user experience across multiple applications and services.
  4. Design and evolve microservices, APIs, and data models that integrate with systems such as Salesforce, billing, data platforms, and analytics, ensuring robust contracts and clear boundaries.
  5. Partner closely with Product Managers and business stakeholders to translate ambiguous business problems into clear technical strategies, roadmaps, and deliverables over multi quarter horizons.

Skills

Required

  • 12+ years of professional software engineering experience
  • technical architect on complex, business critical systems
  • Deep hands-on expertise in full stack development
  • Go, Java, or similar
  • building services and APIs
  • modern JavaScript front ends (e.g., React)
  • relational databases (e.g., PostgreSQL)
  • event streaming or messaging technologies such as Kafka
  • architecting and delivering internal or B2B applications
  • complex business workflows
  • high reliability and usability
  • decompose ambiguous, cross team problems into clear technical designs and milestones
  • ship high quality solutions on time for multi quarter initiatives
  • improving developer productivity and operational excellence
  • system design
  • data structures
  • algorithms
  • cloud native environment (AWS or similar)
  • containers
  • CI/CD
  • modern observability tooling
  • Excellent communication and collaboration skills
  • influencing stakeholders at multiple levels
  • mentoring other engineers

Nice to have

  • Growth mindset
  • ownership mentality
  • bias for action

What the JD emphasized

  • complex, business critical systems
  • complex business workflows
  • multi quarter horizons
  • modernize the existing application and platform for scalability, availability, speed of delivering software and enabling AI capabilities for End Users