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Senior Software Engineer II - Cloud Compute Platform

Confluent

Senior Software Engineer II - Cloud Compute Platform

Confluent

Remote, United States

·

Remote

·

Full-time

·

1mo ago

必备技能

Go

Kubernetes

Distributed Systems

Cloud Architecture

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

  • Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations

  • Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments

  • Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities

As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers.

WHAT YOU WILL DO:

  • Drive the overall technical charter for the Compute Platform, including multi-cluster orchestration, workload placement, and security architecture

  • Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements

  • Work closely with product management and engineering leadership to build and drive the roadmap for Confluent's Compute Platform, enabling new business opportunities across Confluent.

  • Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management

  • Lead technical design reviews and drive architectural decisions across organizational boundaries

  • Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance

  • Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure

WHAT YOU WILL BRING:

  • 8+ years of experience delivering scalable software solutions

  • Proven track record of leading the delivery of large-scale, highly available, low-latency systems

  • Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures

  • Strong proficiency in Go with experience building production-grade distributed systems

  • Experience with multi-tenant platform architectures and security isolation patterns

  • Familiarity with gRPC, Protobuf, and API design for internal platform services

  • Experience with observability tools and operational excellence practices

  • Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations

  • Track record of providing technical leadership and mentorship

  • Track record of working collaboratively across teams including product management, SRE, and other engineering teams

  • A smart, humble, and empathetic attitude with a strong sense of teamwork

  • Drive and excitement about the challenges of a fast-paced, innovative software environment

READY TO BUILD WHAT'S NEXT? LET’S GET IN MOTION.

COME AS YOU ARE:

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

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关于Confluent

Confluent

Confluent

Public

Confluent, Inc. is an American technology company headquartered in Mountain View, California. Confluent was founded by Jay Kreps, Jun Rao and Neha Narkhede on September 23, 2014, in order to commercialize an open-source streaming platform Apache Kafka, created by the same founders while working at...

1,001-5,000

员工数

Mountain View

总部位置

$4.6B

企业估值

评价

3.7

10条评价

工作生活平衡

3.2

薪酬

3.8

企业文化

4.1

职业发展

3.4

管理层

2.8

68%

推荐给朋友

优点

Flexible working hours and remote work options

Supportive and friendly team dynamics

Good learning opportunities and new technologies

缺点

Heavy and unpredictable workload

Poor management and lack of leadership direction

High pressure and fast-paced environment

薪资范围

43个数据点

Mid/L4

Mid/L4 · SECURITY ENGINEER

1份报告

$208,000

年薪总额

基本工资

$160,000

股票

-

奖金

-

$208,000

$208,000

面试经验

2次面试

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 50%

中性 50%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Final Round Interview

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge