Senior Java/Kotlin Developer
AI Summary
A Senior Fullstack engineer collaborates with product and design squads to build and deploy features end-to-end, shaping product functionality from conception to deployment.
About this role
Youâll go beyond coding, youâll apply your product-centric mindset. You'll be instrumental in shaping features from conception to deployment, ensuring they align with our users' needs and our business goals.
Key responsibilities âš
Collaborative Product Leadership: You'll establish a strong partnership with Product Managers and Designers to translate user needs into innovative technical reality. You thrive in the creative process, confidently challenging ideas and co-creating elegant solutions that directly solve end-users problems.
Take the lead: Youâll own your features end-to-end. From first sketch to release (and beyond). Youâre empowered to make decisions and trusted to do whatâs right for the product.
Build smart, ship fast: We deploy to production around 70 times a week. Youâll help us keep that rhythm by balancing speed, quality, and business impact.
Be a partner: You bring strong opinions, backed by experience, and youâre not afraid to challenge the status quo when it makes sense.
AI-Augmented Craft: You are curious about (or already using) tools like Cursor, Gemini or Claude Code. You see AI as a pair-programming partner that accelerates delivery while you maintain the "human-in-the-loop" for quality and strategy.
Knowledge Multiplier: As a senior, youâll help the team navigate this new AI landscape. Youâll share best practices on prompt engineering, AI-driven refactoring, and maintaining a high "quality bar" in an automated world.
Our Tech Stack
Frontend: TypeScript, Vue.js, Nuxt, Internal Design System, Stencil.js
Backend: Kotlin, Java Spring Boot, Gradle, PostgreSQL, MongoDB, Elasticsearch, RabbitMQ, Redis
Platform: Google Cloud Platform, Kubernetes, Terraform, ArgoCD, Gitlab CI
The AI Toolkit: We empower our devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)
Data: BigQuery, dbt, Looker, Spark, Python
Life @Malt
Remote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office and legal entity (France, Germany, Spain, Belgium, Netherlands, or UK).
Tech Days: 15% of engineering time dedicated to technical project, , continuous training and learning, R&D and technology watch.
Tech Conferences: Annual Product, Tech and Data workshop, annual Malt Tech Days, organized and presented by Maltâs engineering team. Opportunity to attend major tech conferences.
