MOLO17 srl
MOLO17 srl

Product Engineer (Mid), Java / Kotlin

, IT
€40.000 per year

TLDR

Ship Gluesync features end to end, work across SQL and NoSQL sources, and troubleshoot production issues for customers.

We are hiring a mid product engineer for the CET night shift.

You can live anywhere. Your working hours have to cover 22:00-06:00 Central European Time. If nights are not for you, this role is not.

What you will do:

  • Ship features on Gluesync with the product team
  • Own small-to-medium work end to end: design, code, tests, review
  • Work with SQL and NoSQL sources (Oracle, SQL Server, IBM i / DB2, MongoDB, Kafka, and similar)
  • Keep quality high: automated tests, no silent regressions
  • Take part in customer technical support on the CET night shift: troubleshoot production issues, help customers through Gluesync problems, and feed what you learn back into the product. This is part of the job, not a rare exception.

Must have:

  • At least 4 years building backend services in Java
  • At least 1-2 years of Kotlin in production (the product is Kotlin; Java gets you in the door, Kotlin is how you ship)
  • REST APIs, SQL, and at least one NoSQL store
  • You write tests and use Git like a teammate
  • You can reliably work CET nights (22:00-06:00) from wherever you are

Nice to have:

  • Ktor, Koin, Gradle
  • Docker / Kubernetes
  • Kafka or other event streaming
  • Prior CDC or database replication

What you get:

  • Remote from any country
  • MacBook Pro
  • Performance bonus
  • Partner training (AWS, MongoDB, and similar)
  • Compensation from 40k€

Missing a piece of the stack is fine if you learn fast. Never having shipped Java, or not knowing Kotlin, is not.

Benefits

Home Office Stipend

MacBook Pro

Learning Budget

Partner training (AWS, MongoDB, and similar)

Performance bonus

Remote-Friendly

Remote from any country

MOLO17 specializes in NoSQL technologies, creating products and solutions designed to unlock data potential without downtime or impacting business continuity. Our focus is on empowering businesses to harness their data effectively and seamlessly.

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