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For Companies At a Glance
- Tasks: Join a pioneering team to develop cutting-edge backend solutions for data and AI infrastructure.
- Company: Databricks, a leader in data and AI technology with a collaborative culture.
- Benefits: Comprehensive benefits, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex challenges in a dynamic tech environment.
- Qualifications: 5+ years in software development with experience in Java, Scala, or similar languages.
- Other info: Be part of a diverse team committed to innovation and excellence.
The predicted salary is between 43200 - 72000 £ per year.
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, 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.
As a software engineer, you will join as a founding member of not only the London site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.
The 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 amounts 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.
What We Look For
- BS degree (or higher) in Computer Science, or a related field.
- 5+ 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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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, please visit.
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.
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.
Senior Software Engineer - Backend in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Backend in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Databricks on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Use platforms like LeetCode or HackerRank to practice. We want you to feel confident and ready to tackle those challenging questions!
✨Tip Number 3
Showcase your passion for data and AI! During interviews, share your personal projects or contributions to open-source software that align with Databricks' mission. This will help us see your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Databricks!
We think you need these skills to ace Senior Software Engineer - Backend in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with distributed systems and any relevant projects that showcase your skills in Java, Scala, or C++. We want to see how you can contribute to our Lakehouse vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and AI, and explain why you're excited about joining Databricks. Let us know how your background aligns with our mission to solve tough problems through innovative technology.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to tackle real-world challenges. Whether it’s improving service reliability or developing high-performance services, we want to hear about your impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Databricks
✨Know Your Tech Stack
Make sure you’re well-versed in the languages and technologies mentioned in the job description, like Java, Scala, or C++. Brush up on your knowledge of distributed systems and SaaS platforms, as these are crucial for the role.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to reliability and performance. Think about how you’ve tackled downtime issues or improved service architecture, as these experiences will resonate with the interviewers.
✨Understand Databricks' Vision
Familiarise yourself with Databricks’ mission and the Lakehouse concept. Be ready to share your thoughts on how you can contribute to their vision of building a better data platform and how your experience aligns with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their approach to scaling services or how they define SLIs and SLOs. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
