Staff Software Engineer

Job Description

Staff Software Engineer, Full Stack Engineering – Data and Analytics

We are seeking a highly skilled software engineer to join our growing core Data and Analytics team. This position offers remote flexibility and works primarily aligning with Pacific Standard Time.

Zendesk’s AI native data and analytics platform is built on top of proprietary memory graphs learned from analysts’ own interactions, supporting agentic and narrative driven insight discovery. Our team’s mission is to deliver a trusted and explainable analytics platform that is critical for customers to grow their businesses.

The data and analytics core engineering team focuses on developing analytics capabilities on top of Zendesk’s customer data. We regularly evaluate existing and potential new datasets and are continually curious about how we can enhance our platform’s analytics and measurement functions.

In this role, you will embrace, extend, and maintain our codebase using excellent engineering practices.

What you’ll be doing

Utilize Java and Maven/Spring toolchain to work on a trusted backend codebase

Apply TypeScript and React on an established front-end codebase that users rely on

Build new capabilities within the platform by leveraging existing systems at Zendesk

Deploy your code to production, enhancing the experience for millions of Zendesk users

Collaborate closely with a focused team of experienced engineers—supporting, challenging, and learning from one another

Partner with the Technical Lead and Product Manager to shape the team’s roadmap

Foster innovation and contribute to continuously improving the team’s well-being and efficiency

What you bring to the role

A solid understanding of analytics and the analytics space

A minimum of 6+ years of experience as an engineer working on full stack solutions, primarily focused on Java platforms

Strong understanding of Maven/Spring with widely accepted patterns and practices in Java development

Expertise in understanding and extending an existing codebase

Knowledge of data and ETL pipelines and processes and usage of Spark

Strong problem-solving skills combined with comfort tracing behavior across multiple layers and technology stacks

Ability to lead, collaborate, and partner effectively across engineering teams and functions

Experience supporting distributed systems, along with knowledge of Linux internals and administration

Excellent listening skills coupled with the confidence to contribute ideas and speak up

Tech Stack

Java

Maven

Spring

Spark

TypeScript

React

Kubernetes

Linux AMIs on AWS

AWS services including Elasticache, Redis, and DynamoDB

The US annualized base salary range for this position is $210,000.00-$316,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.