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- 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 focus on innovation.
- Benefits: Competitive salary, health benefits, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a transformative journey to build the best Lakehouse Platform and make a real impact.
- Qualifications: 8+ years in software development with expertise in Java, Scala, or C++.
- Other info: Dynamic environment with a strong emphasis on collaboration and technical challenges.
The predicted salary is between 36000 - 60000 £ 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 — 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. 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.
- 8+ years of production level experience in one of: Java, Scala, C++, or similar language.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Knowledge of SQL.
Staff Software Engineer - Backend employer: Databricks, Inc.
Contact Detail:
Databricks, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer - Backend
✨Tip Number 1
Network like a pro! Reach out to current employees at Databricks on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you have a GitHub or personal project that showcases your backend prowess, make sure to highlight it during interviews. We love seeing real-world applications of your coding skills.
✨Tip Number 3
Prepare for technical challenges! Brush up on distributed systems and service architecture concepts. We want to see how you tackle problems, so practice coding interviews and system design questions.
✨Tip Number 4
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 journey at Databricks.
We think you need these skills to ace Staff Software Engineer - Backend
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, service architecture, and any relevant programming languages like Java or Scala. 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! Use it to tell us why you're passionate about data and AI infrastructure. Share specific examples of how you've tackled technical challenges in the past, especially those related to backend development.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they involve building reliable and high-performance services.
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. Plus, it shows us you’re keen on joining our team at Databricks!
How to prepare for a job interview at Databricks, Inc.
✨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 service-oriented architectures, as these are key to the role.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to reliability and performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Databricks' Vision
Familiarise yourself with Databricks' Lakehouse Platform and their mission to improve data accessibility. Being able to articulate how your experience aligns with their goals will show that you're genuinely interested in the company and its future.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the development cycle, and how success is measured at Databricks. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
