At a Glance
- Tasks: Join a team to build the world's best data and AI infrastructure platform.
- Company: Databricks, a leader in data and AI solutions.
- Benefits: Comprehensive benefits, remote work options, and a commitment to diversity.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact by solving tough problems with cutting-edge technology.
- Qualifications: 8+ years in software development, experience with distributed systems and SaaS platforms.
The predicted salary is between 80000 - 100000 € 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. 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 the London site and of our multi‑year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify core Databricks values.
The impact you will have:
- 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 huge amounts of data on cloud storage backends such as AWS S3, GCS, Azure Blob Store.
- Develop product features that empower our customers to easily store and access their data.
- Actively find causes of downtime and systematically improve or remove root causes.
- Help the organization 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.
- 8+ years of production‑level experience in one of: Java, Scala, C++, or a 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 our employees.
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 the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Backend in London employer: Cacheflow
At Databricks, we pride ourselves on being an exceptional employer, particularly for our Staff Software Engineer - Backend role in London. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth while working on cutting-edge data and AI technologies. With a commitment to diversity and inclusion, comprehensive benefits, and the chance to be part of a pioneering team shaping the future of data infrastructure, Databricks is the ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff 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. Use platforms like LeetCode or HackerRank to practice problems relevant to backend development. We want you to feel confident and ready to tackle those tricky questions!
✨Tip Number 3
Showcase your projects! If you've worked on large-scale distributed systems or SaaS platforms, make sure to highlight these in your discussions. We love seeing real-world applications of your skills and how you’ve solved complex problems.
✨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 your genuine interest in joining the Databricks team. Let’s get you on board!
We think you need these skills to ace Staff Software Engineer - Backend in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with distributed systems and SaaS platforms, as these are key for us at Databricks.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've tackled similar challenges in your previous roles, especially in building reliable services.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Java, Scala, or C++. We want to see how you’ve applied these languages in real-world scenarios, particularly in large-scale projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at Cacheflow
✨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 will likely come up during technical discussions.
✨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 identified root causes of downtime and what steps you took to improve system reliability.
✨Understand the Company’s Vision
Familiarise yourself with Databricks' Lakehouse vision and their approach to data and AI infrastructure. Being able to articulate how your experience aligns with their goals will show that you’re genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company culture. Inquire about their current projects, team dynamics, or how they measure success in terms of SLIs and SLOs. This shows you’re not just looking for any job, but are keen on contributing to their mission.
