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Kong
Kong

The Kong Company is an American company headquartered in the state of Colorado that develops, designs, and produces lines of dog toys and cat toys

Staff Solutions Engineer

職種DevOps
経験Staff+
勤務地Australia-Sydney, Australia
勤務オンサイト
雇用正社員
掲載1ヶ月前
応募する

必須スキル

Docker

Kubernetes

Kafka

Are you ready to power the World's connections?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

About the Role:

As a Staff Solutions Engineer at Kong, you will act as a pivotal sales engineer, leveraging over a decade of experience to bridge the gap between traditional API management and the emerging AI Platforming era. This is a strategic role for a veteran SEs who want to combine their expertise in DevOps, AIOps, and Fin Ops with a forward-looking mastery of Agentic AI and Event-Driven Architectures.

You will not just support sales cycles; you will own the technical journey for our customers, guiding them through the integration of Kong’s platform with Kafka streams, AI orchestration tools, and hybrid-cloud environments.

What you’ll be doing:

  • Support field sales in helping customers understand the value of the Kong API/Connectivity Management platform

  • Understand customer requirements and how the Kong platform can help. Grow trusted client relationships throughout the entire sales lifecycle, from initial product reviews to production

  • Support Po Cs throughout the entire evaluation process

  • Ensure 100% customer satisfaction across the assigned set of accounts

  • Prioritise customer needs and coordinate with support, product, and engineering teams to help support customer needs

  • Create technical documentation for DevOps, implementations, and services engagements

  • Support top-of-funnel marketing by creating blogs, webinars, and participating in trade shows and field events.

  • And any additional tasks required by the manager

What you’ll bring:

  • 7+ years of software engineer and/or sales engineer management experience at a SaaS, Open Source or Enterprise Software company

  • Solid understanding of cloud computing trends and open source business models

  • You are a strong listener and communicator

  • You can confidently lead a discussion with a group of Product Managers, Engineers, and Executives

  • Enthusiasm for working in a high-profile, fast-paced startup culture

  • Experience with Docker/Kubernetes and other cloud native platforms

  • Experience with APIs, CI/CD automation frameworks and AI and LLM technologies.

About Kong:

Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com http://www.konghq.com.

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Kongについて

Kong

Kong

Bootstrapped

The Kong Company is an American company headquartered in the state of Colorado that develops, designs, and produces lines of dog toys and cat toys. Its primary line of product is a snowman-like chew toy for dogs also named KONG.

51-200

従業員数

the state

本社所在地

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

4.0

報酬

3.8

企業文化

4.2

キャリア

2.8

経営陣

2.5

65%

知人への推奨率

良い点

Good work-life balance

Supportive team and colleagues

Good benefits and perks

改善点

Poor management and leadership

High workload and pressure

Limited career advancement

給与レンジ

45件のデータ

Junior/L3

Senior/L5

Junior/L3 · Business Analyst

1件のレポート

$102,497

年収総額

基本給

$89,128

ストック

-

ボーナス

-

$102,497

$102,497

面接レビュー

レビュー2件

難易度

3.5

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 50%

ネガティブ 50%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Assessment

5

Team Interview

6

Take Home Assessment

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design