Senior software engineer - fullstack

Databricks
Amsterdam, Netherlands
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Amazon Web Services Data Analysis Microsoft Azure C Sharp (Programming Language) C++ (Programming Language) Cascading Style Sheets (CSS) Software as a Service Cloud Computing Cursor
+29 more
Distributed Systems Ember.Js Design of User Interfaces Java Virtual Machine (JVM) Python (Programming Language) Node.Js Open Source Technology Reliability Engineering Standard Sql Scala (Programming Language) SQL Databases Virtual Machines Web Application Frameworks Google Cloud Enterprise Software Applications ReactJS Claude Code Backend Vue.js Data Lakes AngularJS Kubernetes Information Technology Web Technologies Front End Software Development Terraform Docker Databricks Golang

Job description

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the β€œconsole” for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we’ve rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using toolsoutside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - . Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We’re currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

Requirements

  • BS/MS/PhD in Computer Science, or a related field
  • 5+ years of experience with HTML, CSS, and JavaScript
  • Passion for user experience and design and a deep understanding of front-end architecture
  • Comfortable working towards a multi-year vision with incremental deliverables
  • Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
  • Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
  • Good knowledge of SQL
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
  • Experience in architecting, developing, deploying, and operating large scale distributed systems

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