Staff Software Engineer I - Cloud Compute Platform

Confluent · Remote (United States) · Engineering

staff software engineering Cloud Engineer tech_leadership · Posted Feb 2, 2026
$197,400 – $232,000
USD per year

About this role

Confluent is hiring a staff-level Cloud Engineer in the software engineering function as a remote position. The posting calls out experience with gRPC, AWS, GCP, Azure. Compensation is listed at $197,400–$232,000 per year.

Role
Cloud Engineer
Function
software engineering
Level
staff
Track
Tech leadership
Employment
Full-time
Location
Remote (United States)
Work mode
Remote
Department
Engineering
Posted
Feb 2, 2026
AI Summary
Senior Cloud Engineer leading multi-tenant, cloud-native compute platform orchestration across global Kubernetes clusters. Design platform APIs in Go, implement workload scheduling and security isolation, and mentor engineering teams. Drive technical strategy for Confluent Cloud's compute substrate supporting diverse enterprise workloads.
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Job description

from Confluent careers

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads.Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including:

  • Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region

  • Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs

    This is an excerpt. Read the full job description on Confluent careers →
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