At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re now looking for a Customer Success Engineer (CSE) to help engineering teams successfully adopt Kotlin on the backend in real-world production environments.
Currently, this role is focused on adoption – helping Java teams introduce Kotlin into existing applications. You’ll work directly with organizations to guide migration, integration, troubleshooting, and scaling, ensuring they move from initial experiments to successful production use.
In addition, you’ll proactively communicate with prospective users to help them understand the Kotlin adoption process, as well as design and implement the migration path.
Responsibilities- Track and maintain visibility into organizations and their stage of Kotlin adoption (e.g., not started, evaluating, experimenting, production)
- Proactively engage with organizations across different phases of their Kotlin adoption journey
- Develop and recommend high-level adoption strategies tailored to each organization’s context
- Identify and document blockers that hinder progress and propose ways to address them
- Establish and manage feedback loops with development teams to ensure continuous alignment and improvement
Technical expertise
- Extensive hands-on experience with Kotlin, Java, and the JVM ecosystem
- Proven experience migrating Java backend codebases to Kotlin
- Experience with the Spring (Boot) ecosystem or similar frameworks (e.g., Quarkus, Micronaut, Ktor)
- Solid understanding of build tools and project structuring, including Maven and Gradle
Communication and customer engagement
- Experience in customer-facing technical roles such as Solutions Engineering, Developer Advocacy, or Technical Consulting
- Strong English communication skills, both written and spoken
- Ability to lead workshops, demos, talks, meetups, and other public-facing activities
- Comfort with outbound engagement, including identifying target companies, articulating value propositions, and building relationships with engineering teams
- Ability to effectively communicate with engineers, tech leads, and business stakeholders
System design and architecture
- Ability to design and guide Kotlin adoption strategies for backend applications
- Experience designing backend systems using common architectural patterns (e.g., monolith, modulith, microservices)
#LI-HYBRID
#LI-REMOTE
#LI-JP1
This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location.
This position may also be eligible for additional compensation, such as an annual bonus, commission, or other incentive compensation, subject to the terms of the applicable plan or program.
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
