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Kubernetes Platform Engineer - Big Data Infrastructure

ZoomSan Jose, CA

$124,000 - $271,200 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$124,000-$271,200/year
Benefits
Paid Vacation
Paid Community Service Time
Health & Wellness Programs

Job Description

Immigration sponsorship is not available for this position

Kubernetes Platform Engineer - Big Data Infrastructure

What you can expect

You can expect to contribute to Zoom's Big Data Infrastructure platform, designing and operating open‑source compute engines on Kubernetes. You will help build reliable and scalable systems that power analytics, machine learning, telemetry, and product insights across Zoom.

About the Team

The Big Data Infrastructure team is responsible for running open‑source data engines-such as Spark, Flink, and Trino-on Kubernetes. The team owns engine runtimes, automation, observability, multi‑tenant operations, and data lake integrations that support Zoom's global analytics needs.

Responsibilities

  • Designing Kubernetes infrastructure to run distributed compute engines

  • Building automation and IaC modules using Terraform and Helm

  • Implementing multi‑tenant resource isolation, RBAC, and secure access patterns

  • Operating engine runtimes and control plane components on EKS

  • Integrating data ingestion systems and object‑storage data lakes

  • Managing table operations such as compaction, retention, and partition management

  • Monitoring engine and cluster performance using modern observability tools

  • Debugging distributed jobs across Spark, Flink, and Trino runtimes

  • Automating CI/CD workflows and engine upgrade processes

  • Collaborating with data, ML, and SRE teams on platform improvements

What we're looking for

  • Have experience running workloads on Kubernetes in production

  • Possess hands‑on expertise with Spark, Flink, or Trino

  • Build infrastructure through Terraform, Helm, and GitOps practices

  • Operate cloud environments (ideally AWS EKS)

  • Demonstrate understanding of distributed systems performance and architecture

  • Show solid debugging and root‑cause analysis skills

  • Drive improvements in platform reliability and scalability

  • Collaborate effectively across cross‑functional teams

  • Learn new open‑source engines and tools quickly

  • Communicate clearly in technical discussions and design reviews

Salary Range or On Target Earnings:

Minimum:

$124,000.00

Maximum:

$271,200.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

04/01/26

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Automate your job search with Sonara.

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FAQs About Kubernetes Platform Engineer - Big Data Infrastructure Jobs at Zoom

What is the work location for this position at Zoom?
This job at Zoom is located in San Jose, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Zoom?
Candidates can expect a pay range of $124,000 and $271,200 per year.
What employment applies to this position at Zoom?
Zoom lists this role as a Full-time position.
What experience level is required for this role at Zoom?
Zoom is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Zoom?
You can apply for this role at Zoom either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.