Senior Software Engineer - Fullstack

Databricks

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Location: Amsterdam, Netherlands
Job Type: full-time
Work Format: 📍 Onsite
Salary: Not specified
Posted: August 19, 2026

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 "console" 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 tools outside 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 - AppKit. 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.

What we look for:

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

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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🎯 Who is this job for?

This role is suitable for a Senior full-stack software engineer with a degree in Computer Science or a related field and at least five years of web development experience. Required skills include HTML, CSS, JavaScript, modern frameworks such as React or Vue, server-side technologies, SQL, cloud platforms, Docker, Kubernetes, and distributed-system architecture. The candidate should be familiar with designing user-focused interfaces, developing and operating scalable SaaS products, and delivering frontend, backend, reliability, developer tooling, and workflow features incrementally within long-term product goals.

💬 Potential Interview Questions

How would you design a React frontend for a complex SQL analytics console with large datasets and frequent updates?

I would use a modular component architecture, centralized state management, virtualized tables, and incremental data fetching. I would also separate server state from UI state and use caching, debouncing, and pagination to keep interactions responsive.

How would you optimize a JavaScript application that displays continuously changing job and workflow statuses?

I would use WebSockets or server-sent events where appropriate, batch updates, and efficient state normalization. React memoization, list virtualization, and selective rendering would prevent unrelated components from re-rendering.

How would you design an API for submitting and monitoring asynchronous jobs?

I would expose an idempotent job-submission endpoint that returns a job identifier, followed by endpoints or streaming mechanisms for status and result retrieval. The system should include retries, clear state transitions, authorization, timeout handling, and durable persistence for job metadata.

What techniques would you use to ensure consistency and reliability in a distributed workflow service?

I would use durable state transitions, idempotent operations, transactional updates where needed, and retry policies with exponential backoff. Distributed coordination, dead-letter handling, observability, and explicit treatment of at-least-once delivery would also be important.

How would you secure a full-stack application running on a cloud platform?

I would enforce authentication and authorization on the server, apply least-privilege IAM policies, validate all inputs, and protect secrets using a managed secret store. I would also use TLS, secure headers, audit logging, dependency scanning, and network isolation.

How would you design a scalable backend service using Node.js, Java, Python, or another server-side technology?

I would define clear service boundaries, keep request handlers stateless, and use asynchronous processing for long-running work. Horizontal scaling, connection pooling, caching, rate limiting, structured logging, and metrics would support reliable operation at scale.

How would you improve the performance of a SQL query used by a data analytics application?

I would inspect the query plan, reduce unnecessary columns and rows, filter early, and verify that joins and aggregations are appropriate. Partitioning, clustering, statistics, caching, and avoiding repeated queries from the frontend can further improve performance.

How would you deploy and operate a full-stack service with Docker and Kubernetes?

I would build minimal immutable images, define Kubernetes deployments with resource requests, health probes, autoscaling, and rolling updates. Production operation would include centralized logs, metrics, tracing, alerting, and safe rollback procedures.

How would you design a developer SDK or CLI that remains compatible as backend APIs evolve?

I would use explicit API versioning, generated models where practical, backward-compatible changes, and contract tests. The SDK should provide stable abstractions, clear error types, retries for safe operations, and a documented deprecation process.

How would you approach building an accessible and maintainable user experience for a data platform?

I would follow semantic HTML, keyboard navigation, visible focus states, appropriate ARIA usage, and sufficient color contrast. I would establish reusable design-system components, automated accessibility tests, and usability feedback loops while keeping the frontend architecture modular.

📋 Job Summary

Databricks is a leading Data and AI company building a modern SaaS platform that helps organizations solve complex business problems with data. As a Senior Fullstack Software Engineer, you’ll design, develop, deploy, and operate user-focused products across frontend, backend, and distributed systems, contributing to teams such as SQL Analytics, Jobs and Workflows, or Developer Ecosystem. The stack includes HTML, CSS, JavaScript, React or other modern frameworks, Node.js, Java, Python, Scala, SQL, AWS/Azure/GCP, Docker, and Kubernetes; the role is based in Amsterdam, with remote status not specified. Salary is not disclosed, but the opportunity offers meaningful technical challenges, large-scale impact, strong benefits, and the chance to shape the future of data and AI infrastructure.