Software Engineer - Backend
Backend software engineer at Databricks building platform infrastructure at scale — cloud-agnostic infrastructure abstractions, service platforms, ML infrastructure, and developer tooling (currently focused on the Rust development experience). Requires 2+ years of professional experience with backend languages such as Java, Scala, or Go, based in Aarhus, Denmark.
- Compensation
- Not disclosed
- Location
- Aarhus, Denmark
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Backend
- Posted
Skills
Must have
- 2+ years of professional software development experience, or alternatively a PhD degree
- Bachelor's degree or higher in Computer Science, related field, or equivalent experience
- Proficiency in one or more backend languages such as Java, Scala, or Go
- Hands-on experience developing and operating backend systems
- Ability to contribute effectively throughout all project phases, from design to implementation and ongoing operations, with guidance from senior team members
- Self-driven and passionate with a strong focus on delivering impact through team collaboration
- Strong written and verbal communication skills, with ability to produce clear technical documentation
Full description
P-1360
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.
As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The impact you'll have:
Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:
- Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
- Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
- Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.
What we look for:
- 2+ years of professional software development experience, or alternatively a PhD degree.
- Bachelor’s degree or higher in Computer Science, related field, or equivalent experience.
- Proficiency in one or more backend languages such as Java, Scala, or Go.
- Hands-on experience in developing and operating backend systems.
- Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
- Self-driven and passionate with a strong focus on delivering impact through team collaboration.
- Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
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.