Role at a glance
- Salary
- Not Disclosed
- Location
- Aarhus, Denmark
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of professional software development experience.
- Education
- Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
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Role Summary
This backend-focused software engineering role works with a team to build infrastructure for the Databricks platform at scale. The work spans foundational infrastructure platforms, cloud-agnostic service abstractions, and engineering productivity tools, including efforts to improve the Rust development experience.
What You'll Do
- Build foundational infrastructure platforms that support operation across numerous geographic regions and cloud providers.
- Implement cloud-agnostic infrastructure abstractions for managing and operating services.
- Develop tools and processes that improve engineering efficiency.
- Enhance developer experience through programming languages, linters, static analysis, IDEs, remote development environments, automated...
- Optimize the Rust development experience across the organization.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proficiency in one or more backend languages such as Java, Scala, or Go; hands-on experience developing and operating large-scale, critical distributed backend systems; demonstrated leadership across project phases; experience mentoring engineers and influencing best practices; strong written and verbal communication skills; experience with infrastructure systems, security, and sensitive data; familiarity with Kubernetes or AWS, Azure, or GCP.
Required
- Proficiency in one or more backend languages such as Java, Scala, or Go.
- Hands-on experience in developing and operating large-scale, critical distributed backend systems.
- Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
- Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
- Strong written and verbal communication skills.
- Experience with infrastructure systems, security, and sensitive data.
- Familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1344
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:
- 8+ years of professional software development experience.
- Bachelor’s degree or higher in Computer Science, a 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 large-scale, critical distributed backend systems.
- Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
- Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
- Self-driven and passionate with a strong focus on delivering impact through team collaboration.
- Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
- Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.