At a Glance
- Tasks: Join a pioneering team to develop cutting-edge backend solutions for data and AI challenges.
- Company: Databricks, a leader in data and AI infrastructure with a collaborative culture.
- Benefits: Comprehensive benefits, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems and shaping the future of data technology.
- 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 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.
- 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 https://www.mybenefitsnow.com/databricks.
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.
Senior Software Engineer - Backend employer: Menlo Ventures
Contact Detail:
Menlo Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior 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! Prepare a portfolio or GitHub repository showcasing your projects, especially those related to distributed systems or SaaS platforms. This is your chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Ace the interview by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Databricks journey.
We think you need these skills to ace Senior Software Engineer - Backend
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data and AI shine through! We love candidates who are excited about tackling tough problems and making a real impact in the tech world.
Tailor Your Experience: Make sure to highlight your relevant experience with distributed systems and SaaS platforms. We want to see how your background aligns with our mission to build the best Lakehouse Platform!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand and directly related to the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our hiring process smoothly.
How to prepare for a job interview at Menlo Ventures
✨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. Be ready to explain how you identified issues and implemented solutions, particularly in large-scale environments.
✨Understand Databricks' Vision
Familiarise yourself with Databricks’ mission and the Lakehouse concept. Being able to articulate how your experience aligns with their goals will show that you’re not just looking for any job, but that you’re genuinely interested in contributing to their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the development cycle, and the specific challenges they face. This not only shows your interest but also helps you gauge if the company culture and projects align with your career aspirations.