Staff Software Engineer - Backend
databricks has an opening for a Staff Software Engineer - Backend in London, United Kingdom. It is listed as a full-time, staff/principal-level position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
databricks has an opening for a Staff Software Engineer - Backend in London, United Kingdom. It is listed as a full-time, staff/principal-level position.
Reading the advert, the employer asks for 8+ years of experience.
Skills and tools named in the text include Java, Scala, C++, SQL, Databricks, Excel, AWS and Azure.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to United Kingdom for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 14, 2026.
- Employer
- databricks
- Location
- London, United Kingdom
- Job type
- Full-time
- Level (from the title)
- staff/principal-level
- Pay
- Not stated by the employer
- Experience asked
- 8+ years
- Found
- Nov 14, 2026 on Arbeitnow
- Employer text
- 824 words, about 4 min to read
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- Compare your own experience with the 8+ years the advert asks for, and show it clearly near the top of your CV.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
P-1514
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 tackle 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.
Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.
Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence.
01Below are some example teams you can join
Lakebase Platform Reliability: Constantly evolving Lakebase Reliability. That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services
Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase, database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component, storage, compute, proxy, and console, managing the full database lifecycle at scale with a focus on reliability.
Lakebase Proxy: Build the heart of the Lakebase data path, the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput. We focus on performance, observability, and reliability to ensure the data path is fast and resilient.
02The impact you will have
Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
- Develop product features that empower our customers to easily store and access their data.
- Solve reliability problems related to Lakebase.
- Actively find causes of downtime and systematically improve or remove root causes.
- Help the org define SLIs, meet SLOs, and drive long-term reliability improvements.
03What we look for
- BS degree (or higher) in Computer Science, or a related field.
- 8+ years of production level experience in one of: Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Knowledge of SQL.
04About 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.
05Benefits
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 (docs.google.com).
06Our 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.
07Compliance
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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